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X-WR-CALDESC:Events for Columbia Entrepreneurship
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260227T103000
DTEND;TZID=UTC:20260227T120000
DTSTAMP:20260414T181224
CREATED:20260213T195556Z
LAST-MODIFIED:20260213T195556Z
UID:81969-1772188200-1772193600@entrepreneurship.columbia.edu
SUMMARY:February 27 Lecture Series in AI: Ali Farhadi\, CEO of AI2
DESCRIPTION:Columbia Engineering Lecture Series in AI\nFriday\, February 27: Ali Farhadi\, CEO of Allen Institute for Artificial Intelligence (AI2) & Professor\, University of Washington \n\n10:30-11:00am Check-in\n11:00-12:00pm Lecture\n\nAdvance registration is required for both Columbia affiliates and non-affiliates \nREGISTER HERE \nABOUT THE LECTURE \n“What is the Language Model of a Crow?” \nABOUT THE SPEAKER \nAli Farhadi is the CEO of the Allen Institute for AI (Ai2) and a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Ali has been a professor at the UW Allen School since 2012. He first joined Ai2 in 2015 to lead the institute’s computer vision research team with a focus on visual common-sense reasoning and the role of actions and interactions in visual understanding. While at Ai2\, he co-founded Xnor.ai\, the first on-device deep learning startup that was acquired by Apple in 2020. Ali led Apple’s next-generation machine learning efforts until 2023 when he rejoined Ai2 as CEO in July. Ali’s research impact has been globally recognized with several best paper awards at CVPR\, NeruIPS\, AAAI\, NSF Career Award\, and the Sloan Fellowship\, and he was named one of Forbes’s Top 5 AI Entrepreneurs in 2018.
URL:https://entrepreneurship.columbia.edu/event/february-27-lecture-series-in-ai-ali-farhadi-ceo-of-ai2/
CATEGORIES:Columbia Data Science Institute,Columbia Engineering
ATTACH;FMTTYPE=image/png:https://entrepreneurship.columbia.edu/wp-content/uploads/2026/02/r3_image_upload_599694_Ali_Farhadi_CampusGroups_Image_11614351.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260205T110000
DTEND;TZID=UTC:20260205T120000
DTSTAMP:20260414T181224
CREATED:20260204T210509Z
LAST-MODIFIED:20260204T210509Z
UID:81954-1770289200-1770292800@entrepreneurship.columbia.edu
SUMMARY:AI and Entrepreneurship Talk: Parag Agrawal\, Parallel.ai CEO and Cofounder
DESCRIPTION:The Columbia Engineering AI Entrepreneurship Series is a bi-weekly speaker series that brings students and faculty at Columbia together with founders\, VCs\, technologists\, and business leaders to learn about the process of transitioning lessons from research and the classroom into products and value. \n\n\nThis week join to hear from: \n\nParag Agrawal\, Parallel.ai CEO and Cofounder \n11AM February 05\, 2026 Davis Auditorium \nParag Agrawal is the founder of Parallel Web Systems\, a company unlocking the web for AI agents. Previously\, he spent 11 years at Twitter\, where he joined as an engineer before serving as CTO\, and then CEO. Parag has a PhD from Stanford University in Computer Science and a Bachelor’s degree in Computer Science and Engineering from IIT\, Bombay.
URL:https://entrepreneurship.columbia.edu/event/ai-and-entrepreneurship-talk-parag-agrawal-parallel-ai-ceo-and-cofounder/
CATEGORIES:Columbia Data Science Institute,Columbia Engineering
ATTACH;FMTTYPE=image/png:https://entrepreneurship.columbia.edu/wp-content/uploads/2026/02/Screenshot-2026-02-04-at-4.04.31-PM.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220406T080000
DTEND;TZID=UTC:20220406T170000
DTSTAMP:20260414T181224
CREATED:20220207T171534Z
LAST-MODIFIED:20220207T171534Z
UID:41325-1649232000-1649264400@entrepreneurship.columbia.edu
SUMMARY:Data Science Day 2022
DESCRIPTION:Data Science Day provides a forum for innovators in academia\, industry\, and government to connect. The April 6\, 2022 event will feature lightning talks from leading Columbia University faculty members; a poster session on the latest data science innovation; and keynotes from senior industry and government representatives. \nRegister here
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2022/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210616T103000
DTEND;TZID=UTC:20210616T140000
DTSTAMP:20260414T181224
CREATED:20210609T174548Z
LAST-MODIFIED:20210609T174548Z
UID:39340-1623839400-1623852000@entrepreneurship.columbia.edu
SUMMARY:Columbia-IBM Center for Blockchain and Data Transparency Showcase 2021
DESCRIPTION:The Columbia-IBM Center for Blockchain and Data Transparency brings together cross-disciplinary teams to advance innovation in blockchain and data transparency and closely associated topics for the good of society that will drive new science and technology\, develop thought leadership\, and influence policy. \nJoin the showcase to explore new topics\, learn about upcoming initiatives\, and celebrate the Center’s recent accomplishments. Each session will be led by senior representatives from Columbia University and IBM. Tickets are free. \nRSVP
URL:https://entrepreneurship.columbia.edu/event/columbia-ibm-center-for-blockchain-and-data-transparency-showcase-2021/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210421T100000
DTEND;TZID=UTC:20210421T130000
DTSTAMP:20260414T181224
CREATED:20210104T164501Z
LAST-MODIFIED:20210104T164501Z
UID:26772-1618999200-1619010000@entrepreneurship.columbia.edu
SUMMARY:Data Science Day 2021
DESCRIPTION:Open to the public \nRegister here \n\nData Science Day provides a forum for innovators in academia\, industry\, and government to connect. We hope you will join us in April for the keynote address\, an interactive virtual poster session\, and lightning talks by Columbia University researchers on their latest work in data science. Learn more at datascienceday.net. \nThe Keynote will be delivered by Pat Bajari\, a Chief Economist at Amazon and Vice President of Amazon’s Core AI team. His team of software engineers and scientists in machine learning\, statistics\, operations research\, and econometrics has helped to build scalable systems for supply chain\, transportation\, pricing\, automated marketing\, robotics\, forecasting\, human resources\, and more.
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2021/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20201214T080000
DTEND;TZID=UTC:20201215T170000
DTSTAMP:20260414T181224
CREATED:20200701T145722Z
LAST-MODIFIED:20200701T145722Z
UID:20766-1607932800-1608051600@entrepreneurship.columbia.edu
SUMMARY:Machine Learning in Science and Engineering (MLSE)
DESCRIPTION:Register here. \nMLSE will highlight the latest research in artificial intelligence and machine learning that are advancing science and engineering fields at large. This conference will demonstrate how data-driven approaches may help solve emerging challenges\, and will showcase new research from a diverse range of disciplines. Representatives from academia\, government\, and industry will join virtually to explore the future of science and engineering across 11 dedicated tracks.
URL:https://entrepreneurship.columbia.edu/event/machine-learning-in-science-and-engineering-mlse/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200914T100000
DTEND;TZID=UTC:20200914T113000
DTSTAMP:20260414T181224
CREATED:20200706T111059Z
LAST-MODIFIED:20200706T111059Z
UID:20801-1600077600-1600083000@entrepreneurship.columbia.edu
SUMMARY:Data Science Day 2020 | Ethics & Privacy: Terms of Usage
DESCRIPTION:RSVP here \n\nAs part of the Data Science Institute’s flagship annual event\, this virtual session will bring together thought leaders who are driving discussions on ethics and privacy in data science and engineering. \nEthics and Privacy: Terms of Usage will feature lightning talks and presentations from leading Columbia University researchers. Eric Schmidt\, former Google Chief Executive Officer and Executive Chairman and Co-Founder of Schmidt Futures\, will join for a discussion with the Institute’s Avanessians Director Jeannette M. Wing.
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2020-ethics-privacy-terms-of-usage/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200331
DTEND;VALUE=DATE:20200401
DTSTAMP:20260414T181224
CREATED:20200203T185012Z
LAST-MODIFIED:20200313T154942Z
UID:19735-1585612800-1585699199@entrepreneurship.columbia.edu
SUMMARY:Online Sneak Peek for Data Science Day 2020
DESCRIPTION:Open to the public. \nThe in-person conference will now be held on Monday\, September 14\, 2020 at Columbia University’s Alfred Lerner Hall (2920 Broadway\, New York\, NY 10027). \nIf you have purchased a ticket for March 31\, you will receive a full refund within the immediate future. \nIf you are able to join us in September\, you can now re-register for September’s Data Science Day via the new Eventbrite page here. \nDetails for the online sneak peek are TBA
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2020/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20200313T080000
DTEND;TZID=UTC:20200313T170000
DTSTAMP:20260414T181224
CREATED:20200313T134047Z
LAST-MODIFIED:20200313T134047Z
UID:20196-1584086400-1584118800@entrepreneurship.columbia.edu
SUMMARY:Data Science Day 2020
DESCRIPTION:Open to the Public \nRSVP \n\nThe in-person conference will now be held on Monday\, September 14\, 2020 at Columbia University’s Alfred Lerner Hall (2920 Broadway\, New York\, NY 10027). \nIf you are able to join us in September\, you can now re-register for September’s Data Science Day via the new Eventbrite page here.
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2020-2/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191101T120000
DTEND;TZID=UTC:20191101T133000
DTSTAMP:20260414T181224
CREATED:20190930T145159Z
LAST-MODIFIED:20190930T145159Z
UID:18676-1572609600-1572615000@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute Data For Good Series: Professor Sunil K. Agrawal
DESCRIPTION:Free\, open to the public\, and does not require registration.\n\n\n\nFriday\, November 1\, 2019\n\n12:00 PM – 1:30 PM\n\n \nNorthwest Corner Building – Room 1406\n550 West 120th Street\, 14th Floor\nNew York\, NY 10027\n\n\n\n\n\n**REGISTRATION IS REQUIRED: PLEASE CLICK HERE TO REGISTER.**\n \n\n\n\nRobotics to Characterize\, Retrain\, and Restore Human Movements\n\nNeural disorders and old age limit the ability of humans to perform activities of daily living. Robotics can be used to probe the human neuromuscular system and create new pathways to characterize\, relearn\, or restore functional movements. Dr. Agrawal’s group at Columbia University Robotics and Rehabilitation (ROAR) Laboratory has designed innovative technologies and robots for this purpose. These technologies have been tested on subjects in a variety of studies to understand the human cognitive and neuro-muscular response. Human experiments have targeted patients with stroke\, cerebral palsy\, Parkinson’s disease\, ALS\, Vestibular disorders\, elderly subjects and others. The talk will provide an overview of some of these technologies and scientific studies performed with them. \nSpeaker: Sunil K. Agrawal\, Ph.D.\, Professor\, Department of Mechanical Engineering and Department of Rehabilitation and Regenerative Medicine\, Columbia University\, New York\, NY 10027\, USA. (Email: Sunil.Agrawal@columbia.edu\, Web: https://roar.me.columbia.edu ) \nSpeaker Biography: Sunil K. Agrawal received a Ph.D. degree in Mechanical Engineering from Stanford University in 1990. He is currently a Professor and Director of Robotics and Rehabilitation (ROAR) Laboratory at Columbia University\, located both in engineering and medical campuses of Columbia University. Dr. Agrawal has published more than 500 journal and conference papers\, three books\, and 14 U.S. patents. He is a Fellow of the ASME and AIMBE. His honors include a NSF Presidential Faculty Fellowship from the White House in 1994\, a Bessel Prize from Germany in 2003\, and a Humboldt US Senior Scientist Award in 2007. He is a recipient of 2016 Machine Design Award from ASME for “seminal contributions to design of robotic exoskeletons for gait training of stroke patients” and 2016 Mechanisms and Robotics Award from the ASME for “cumulative contributions and being an international leading figure in mechanical design and robotics”. He is a recipient of several Best Paper awards in ASME and IEEE sponsored robotics conferences. He has also held international visiting positions that include Technical University of Stuttgart\, Hanyang University in Korea\, University of Ulster in Northern Ireland\, Biorobotics Institute of SSSA in Pisa\, Peking University in China. He has successfully directed 28 PhD student theses and currently supervises the research of 10 PhD students at ROAR laboratory. He is the founding Editor-in-Chief of the journal “Wearable Technologies” from Cambridge University Press. \nWebsite: https://me.columbia.edu\nGoogle Scholar Page:\nhttps://scholar.google.com/citations?hl=en&user=zavGyr4AAAAJ&view_op=list_works&sortby=pubdate
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-data-for-good-series-professor-sunil-k-agrawal/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191025T140000
DTEND;TZID=UTC:20191025T153000
DTSTAMP:20260414T181224
CREATED:20190930T143738Z
LAST-MODIFIED:20190930T143738Z
UID:18674-1572012000-1572017400@entrepreneurship.columbia.edu
SUMMARY:FinTech Lecture Series - Where on Earth is AI Headed?
DESCRIPTION:Free\, open to the public\, and does not require registration.\n\n\n\nWhere on Earth is AI Headed?\n\n\nFriday\, October 25\, 2019\n\n2:00 PM – Lecture\n\n3:00 PM – Reception\n\n \nSchapiro CEPSR – Davis Auditorium\n\n530 West 120th Street\, 4th Floor\nNew York\, NY 10027\n\n \nSpeaker: Tom M. Mitchell – Founders University Professor\, School of Computer Science\n\n \nSpeaker Biography: Tom M. Mitchell is the Founders University Professor in the School of Computer Science at Carnegie Mellon University\, where he created the world’s first academic Machine Learning Department. Mitchell’s research explores machine learning theory\, algorithms and applications\, as well as the impact of AI on society. He has testified to the U.S. Congress several times on AI impacts on society\, and he co-chaired the 2017 U.S. National Academy study on “Information Technology\, Automation\, and the U.S. Workforce.” Mitchell advises a variety of young and old companies internationally on their AI product and business strategies\, and his research has been featured in popular press from the New York Times\, to CCTV (China’s national television network)\, to CBS’s 60 Minutes. He is a member of the U.S. National Academy of Engineering\, a member of the American Academy of Arts and Sciences\, and a Fellow and Past President of the Association for the Advancement of Artificial Intelligence (AAAI).
URL:https://entrepreneurship.columbia.edu/event/fintech-lecture-series-where-on-earth-is-ai-headed/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191009T173000
DTEND;TZID=UTC:20191009T183000
DTSTAMP:20260414T181224
CREATED:20190930T143616Z
LAST-MODIFIED:20190930T143616Z
UID:18672-1570642200-1570645800@entrepreneurship.columbia.edu
SUMMARY:NYC DS3 Seminar - How Can Machine-Learning Methods Help to Make Scientific Inferences?
DESCRIPTION:Free\, open to the public\, and does not require registration. \n\n\nWednesday\, October 9\, 2019\n\n5:00 PM – 5:30 PM: Welcome\n5:30 PM – 6:30 PM: Talk\n\n \nSchapiro CEPSR – Davis Auditorium\n\n530 West 120th Street\, 4th Floor\nNew York\, NY 10027\n\n \nTalk Abstract: Machine learning in the form of standard supervised classification algorithms is not all that useful or productive in the natural sciences\, because the (effective) goals of these algorithms aren’t very similar to the goals of scientific inquiry. However\, the ML community has delivered great ideas and methods for building\, fitting\, and validating extremely flexible models. I argue that if we want to exploit the good things about ML but achieve truly scientific goals\, we need to do two things: We need to augment or modify the (currently trivial) causal structure of the ML methods to represent our very strong domain-specific beliefs about how the data are generated. And we need to be careful to use ML methods only in the parts of our problems for which we don’t care about the latent structure or parameters (that is\, use them to model nuisances\, not use them to do everything). I give examples from stellar astrophysics where adding ML components into larger causal models has created new scientific capabilities.\n \nSpeaker: Professor David W. Hogg\, NYU|MPIA|Flatiron\n \nSpeaker Biography: After a Ph.D. in Physics from Caltech and a few years at the Institute for Advanced Study\, Hogg came to New York University in 2001 and was granted tenure there in 2007. His work at NYU has ranged from fundamental cosmological measurements to stellar dynamics to planet search and characterization. His work includes a significant engineering component. He spends a part of each year at the Max Planck Institute for Astronomy in Heidelberg\, Germany\, where he is a visiting member of the research staff\, and a part of each week at the Flatiron Institute of the Simons Foundation\, where he is a group leader.
URL:https://entrepreneurship.columbia.edu/event/nyc-ds3-seminar-how-can-machine-learning-methods-help-to-make-scientific-inferences/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20191001T110000
DTEND;TZID=UTC:20191001T123000
DTSTAMP:20260414T181224
CREATED:20190930T143447Z
LAST-MODIFIED:20190930T143447Z
UID:18670-1569927600-1569933000@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute-Industry-Innovation Seminar: Goldman Sachs
DESCRIPTION:Free\, open to the public\, and does not require registration.\n\n\n\n\n\nTuesday\, October 1\, 2019\n\n11:00 AM – 12:30 PM\n\n \nSchapiro CEPSR – Davis Auditorium\n\n530 West 120th Street\, 4th Floor\nNew York\, NY 10027\n\n \nSpeaker #1: Mayur Thakur\, Head of the Data Analytics Group\, Global Compliance Division \nBiography: Mayur Thakur is head of the Data Analytics Group in the Global Compliance Division. He joined Goldman Sachs as a managing director in 2014. Prior to joining the firm\, Mayur worked at Google\, where he designed search algorithms for more than seven years. Previously\, he was an assistant professor of computer science at the University of Missouri. Mayur earned a PhD in Computer Science from the University of Rochester in 2004 and a BTech in Computer Science and Engineering from the Indian Institute of Technology\, Delhi\, in 1999.\n \nSpeaker #2: Suruchi Deodhar\, Vice President\, Goldman Sachs \nBiography: Suruchi is a Vice President at Goldman Sachs\, leading the Communication Risk Engineering team in the Global Compliance Division. She joined the firm in 2015 after completing her PhD in Computer Science from Virginia Tech. Her PhD research focused on developing large scale data integration techniques and big-data systems for evaluation and forecasting of epidemics.
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-industry-innovation-seminar-goldman-sachs/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190827T160000
DTEND;TZID=UTC:20190827T173000
DTSTAMP:20260414T181224
CREATED:20190827T155421Z
LAST-MODIFIED:20190827T155421Z
UID:18214-1566921600-1566927000@entrepreneurship.columbia.edu
SUMMARY:Deep Learning to Solve Challenging Problems with the SVP of Google AI
DESCRIPTION:OPEN TO ALL \n\nDEEP LEARNING TO SOLVE CHALLENGING PROBLEMS\nSpeaker: Jeff Dean\, SVP Google AI / Lead\, Google Brain Project\nDate: Tuesday\, August 27\, 2019\nTime: 4:00pm – 5:30pm\nLocation: Mudd 451 – Computer Science Building\nLight refreshments will be served \nFor the past eight years\, Google Research teams have conducted research on difficult problems in artificial intelligence\, on building large-scale computer systems for machine learning research\, and\, in collaboration with many teams at Google\, on applying our research and systems to many Google products. As part of our work in this space\, we have built and open-sourced the TensorFlow system (tensorflow.org)\, a widely popular system designed to easily express machine learning ideas and to quickly train\, evaluate\, and deploy machine learning systems. \nWe have also collaborated closely with Google’s platforms team to design and deploy new computational hardware called Tensor Processing Units\, specialized for accelerating machine learning computations. In this talk\, I’ll highlight some of our recent research accomplishments\, and will relate them to the National Academy of Engineering’s Grand Engineering Challenges for the 21st Century\, including the use of machine learning for healthcare\, robotics\, language understanding and engineering the tools of scientific discovery. I’ll also cover how machine learning is transforming many aspects of our computing hardware and software systems. \nThis talk describes joint work with many people at Google.
URL:https://entrepreneurship.columbia.edu/event/deep-learning-to-solve-challenging-problems-with-the-svp-of-google-ai/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190517T081500
DTEND;TZID=UTC:20190517T180000
DTSTAMP:20260414T181224
CREATED:20190415T200237Z
LAST-MODIFIED:20190415T200237Z
UID:16109-1558080900-1558116000@entrepreneurship.columbia.edu
SUMMARY:Machine Learning in Finance Workshop
DESCRIPTION:OPEN TO ALL\n\nPurchase Tickets Here\n\n\n\n\n\nFriday\, May 17\, 2019 \n8:15 AM – 6:00 PM \nColumbia University – Lerner Hall\n2920 Broadway\, New York\, NY 10027 \nThe Data Science Institute (DSI) at Columbia University and Bloomberg are pleased to announce a workshop on “Machine Learning in Finance”. The workshop will be held at Columbia University under the auspices of the Financial and Business Analytics Center\, one of the constituent centers in the DSI\, and the Center for Financial Engineering. \nBoxed lunches will be provided. There will also be regular coffee breaks throughout the day and a wine and cheese reception after the event.\n \nThe Center for Financial Engineering and the Financial Analytics Center at Columbia University\n\nOrganizer of Machine Learning in Finance Workshop 2019\n\nThe Center for Financial Engineering is an interdisciplinary research center established in 2007 to encourage research on financial engineering and mathematical modeling in finance. It aims at fostering research collaboration among Columbia faculty\, graduate students and affiliates\, facilitating their contacts with financial institutions and corporations and enhancing the visibility of Columbia as a center for research and innovation in financial engineering. \nThe Center’s research activities deal with the pricing and hedging of derivative securities\, the statistical modeling of financial markets\, computational methods in finance\, risk management\, asset allocation\, and portfolio optimization. \nThe Financial Analytics Center is one of the key centers at the Data Science Institute at Columbia University. It brings together expertise in finance theory\, machine learning\, statistics\, signal processing\, operations\, and natural language processing\, and supports collaborations with an appropriately trained student body as well as with the financial industry.
URL:https://entrepreneurship.columbia.edu/event/machine-learning-finance-workshop/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190509T160000
DTEND;TZID=UTC:20190509T180000
DTSTAMP:20260414T181224
CREATED:20190430T145817Z
LAST-MODIFIED:20190430T145817Z
UID:16214-1557417600-1557424800@entrepreneurship.columbia.edu
SUMMARY:Molecular Innovations for Live Cell Imaging (Presentation)
DESCRIPTION:Thursday\, May 9\, 2019 \n4:00PM – 6:00PM\n\nBuell Hall\n\n515 West 116th Street\n\nNew York\, NY 10027\n\n\nThe fluorescent proteins revolutionized our ability to study protein function directly in the cell by enabling individual proteins to be selectively labeled through genetic encoding of a fluorescent tag. As researchers seek to make increasingly sophisticated dynamic measurements of protein function in the cell to unravel molecular mechanism\, we designed a chemical tag to combine the advantages of genetic encoding with a modular organic fluorophore. With TMP-tag\, the protein of interest is tagged with E. coli dihydrofolate reductase\, which can subsequently be labeled with a cell permeable trimethoprim-fluorophore conjugate. Here we demonstrate that TMP-tag is a robust cellular reagent. We present recent results exploiting the modular nature of the chemical tag to generate TMP-tags for specific applications in single-molecule\, super-resolution\, and multi-color imaging. We look forward to innovations at the interface of chemical tag technology and spectroscopy for biological imaging. \nVirginia W. Cornish graduated summa cum laude from Columbia University with a B.A. in Biochemistry in 1991\, where she did undergraduate research with Professor Ronald Breslow. She earned her Ph.D. in Chemistry with Professor Peter Schultz at the University of California at Berkeley and then was a Postdoctoral Fellow in the Biology Department at M.I.T. under the guidance of Professor Robert Sauer. Virginia joined the faculty of the Chemistry Department at Columbia in 1999\, where she carries out research at the interface of chemistry and biology\, and was promoted to Associate Professor with tenure in 2004 and then Professor in 2007. Her laboratory brings together modern methods in synthetic chemistry and DNA technology to expand the synthetic capabilities of living cells. Her research has resulted in 59 research publications and several patents and currently is supported by multiple grants from the NIH and NSF. Virginia has been recognized for her research by awards including an NSF Career Award (2000)\, a Sloan Foundation Fellowship (2003)\, the Protein Society Irving Sigal Young Investigator Award (2009)\, and the American Chemical Society Pfizer Award in Enzyme Chemistry (2009). In addition to her research and teaching\, Virginia enjoys spending time with her husband and their three children.\n \nPlease contact marley.bauce@columbia.edu with any event related questions.
URL:https://entrepreneurship.columbia.edu/event/molecular-innovations-live-cell-imaging-presentation/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190403
DTEND;VALUE=DATE:20190404
DTSTAMP:20260414T181224
CREATED:20181114T162350Z
LAST-MODIFIED:20181114T184952Z
UID:15027-1554249600-1554335999@entrepreneurship.columbia.edu
SUMMARY:Data Science Day
DESCRIPTION:OPEN TO ALL \nREGISTER HERE \nWednesday\, April 3\, 2019\n9AM–5PM \nAnnouncing the Keynote Speaker:\nBrad Smith\nPresident of Microsoft \nJoin the Columbia Data Science Institute for demos and lightning talks by Columbia researchers presenting their latest work in data science. The event provides a forum for innovators in academia\, industry and government to connect. \nRoone Arledge Auditorium\nLerner Hall | Columbia University\n2920 Broadway\, New York\, NY 10027
URL:https://entrepreneurship.columbia.edu/event/data-science-day-2/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190306T180000
DTEND;TZID=UTC:20190306T193000
DTSTAMP:20260414T181224
CREATED:20190114T213101Z
LAST-MODIFIED:20190114T213101Z
UID:15477-1551895200-1551900600@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute-Industry-Innovation Seminar: Amazon
DESCRIPTION:OPEN TO COLUMBIANS\n\nByron Cook\, Professor of Computer Science at University College London (UCL) and Director of Automated Reasoning at Amazon Web Services\n\n \nWednesday\, March 6\, 20108\n6:00PM – 7:30PM\nSchapiro CEPSR\, Davis Auditorium (412)  \n\nAbstract: This talk will discuss the development and use of formal verification tools within Amazon Web Services (AWS) to increase the security assurance of its cloud infrastructure and to help customers secure themselves. I’ll also discuss some remaining challenges that could inspire future research in the community.\n\nBio: Byron Cook is Professor of Computer Science at University College London (UCL) and Director of Automated Reasoning at Amazon Web Services. Byron’s interests include computer/network security\, program analysis/verification\, programming languages\, theorem proving\, logic\, hardware design\, operating systems\, and biological systems. Byron is the founder and leader of Amazon’s Automated Reasoning Group (ARG).e at University College London (UCL) and Director of Automated Reasoning at Amazon Web Services
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-industry-innovation-seminar-amazon/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190208T153000
DTEND;TZID=UTC:20190208T170000
DTSTAMP:20260414T181224
CREATED:20190114T214834Z
LAST-MODIFIED:20190114T214834Z
UID:15481-1549639800-1549645200@entrepreneurship.columbia.edu
SUMMARY:FDT Center for Intelligent Asset Management - FinTech Lecture Series
DESCRIPTION:OPEN TO ALL COLUMBIANS\n\nFDT Center for Intelligent Asset Management – FinTech Lecture Series\n \n“Fair Algorithms for Machine Learning”\n \nMichael Kearns\n \nFriday\, February 8\, 2019\n\nDavis Auditorium\n3:30 pm lecture followed by 4:30 pm reception\n\nMichael Kearns is a professor in the Computer and Information Science Department at the University of Pennsylvania\, where he holds the National Center Chair. He is also Head of Research in Morgan Stanley’s AI Center of Excellence. At Penn\, Kearns has secondary appointments in the Department of Economics\, and in the departments of Statistics and Operations\, Information\, and Decisions in the Wharton School. He is the founding director of the Warren Center for Network and Data Sciences and the founder and former director of Penn Engineering’s Networked and Social Systems Engineering Program. His research interests includes topics in machine learning\, artificial intelligence\, algorithmic game theory and quantitative trading and finance. Kearns is an elected Fellow of the American Academy of Arts and Science\, the Association for Computing Machinery\, and the Association for the Advancement of Artificial Intelligence. He has consulted widely in the technology and finance industries\, and on a variety of related regulatory and legal matters.
URL:https://entrepreneurship.columbia.edu/event/fdt-center-intelligent-asset-management-fintech-lecture-series/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190206T180000
DTEND;TZID=UTC:20190206T200000
DTSTAMP:20260414T181224
CREATED:20190114T220652Z
LAST-MODIFIED:20190114T220652Z
UID:15489-1549476000-1549483200@entrepreneurship.columbia.edu
SUMMARY:Computational Social Science Poster Session
DESCRIPTION:The Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public and larger Columbia community. Light refreshments provided.\n\n\nWednesday\, February 6\, 2019 \n6:00 PM – 8:00 PM\n\nMudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)\n\n\nEvent Contact Information: \nData Science Institute\n212-854-5660\ndatascience@columbia.edu
URL:https://entrepreneurship.columbia.edu/event/computational-social-science-poster-session/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190201T153000
DTEND;TZID=UTC:20190201T173000
DTSTAMP:20260414T181224
CREATED:20190114T220206Z
LAST-MODIFIED:20190114T220206Z
UID:15487-1549035000-1549042200@entrepreneurship.columbia.edu
SUMMARY:DSI Health Analytics Center
DESCRIPTION:OPEN TO ALL \n\nThe Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public and larger Columbia community. Light refreshments provided.\n\n\nFriday\, February 1\, 2019 \n3:30 PM – 5:30 PM\n\nMudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)
URL:https://entrepreneurship.columbia.edu/event/dsi-health-analytics-center/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190129T130000
DTEND;TZID=UTC:20190129T140000
DTSTAMP:20260414T181224
CREATED:20190114T214956Z
LAST-MODIFIED:20190114T214956Z
UID:15483-1548766800-1548770400@entrepreneurship.columbia.edu
SUMMARY:Learning Engines for Healthcare: Using Machine Learning to Transform Clinical Practice and Discovery
DESCRIPTION:OPEN TO ALL COLUMBIANS\n\nLecture in Precision Medicine: Mihaela van der Schaar\n\n\n \n“Learning Engines for Healthcare: Using Machine Learning to Transform Clinical Practice and Discovery” \n \nProf. Mihaela van der Schaar\, John Humphrey Plummer Professor of Machine Learning\, Artificial Intelligence and Medicine\, University of Cambridge  \n \nJanuary 29\, 2019\n\n1:00PM – 2:00PM\nWilliam Black Building\, Alumni Auditorium\, \n650 W. 168th Street\, New York\, NY 10032\n\n\nProfessor van der Schaar is John Humphrey Plummer Professor of Machine Learning\, Artificial Intelligence and Medicine at the University of Cambridge and a Turing Faculty Fellow at The Alan Turing Institute in London\, where she leads the effort on data science and machine learning for personalized medicine. Prior to this\, she was a Chancellor’s Professor at UCLA and MAN Professor of Quantitative Finance at University of Oxford. She is an IEEE Fellow (2009). She has received the Oon Prize on Preventative Medicine from the University of Cambridge (2018). She has also been the recipient of an NSF Career Award\, 3 IBM Faculty Awards\, the IBM Exploratory Stream Analytics Innovation Award\, the Philips Make a Difference Award and several best paper awards\, including the IEEE Darlington Award. She holds 33 granted USA patents. Her current research focus is on data science and machine learning for medicine and education.\n\nThe overarching goal of her research is to develop cutting-edge machine learning\, AI and operations research theory\, methods\, algorithms and systems to understand the basis of health and disease; develop methodology to catalyze clinical research; support clinical decisions through individualized medicine; inform clinical pathways\, better utilize resources & reduce costs; and inform public health.\n\nTo do this\, she is creating what she call Learning Engines for Healthcare (LEH’s). An LEH is an integrated ecosystem that uses machine learning\, AI and operations research to provide clinical insights and healthcare intelligence to all the stakeholders (patients\, clinicians\, hospitals\, administrators). In contrast to an Electronic Health Record\, which provides a static\, passive\, isolated display of information\, an LEH provides dynamic\, active\, holistic & individualized display of information including alerts.
URL:https://entrepreneurship.columbia.edu/event/learning-engines-healthcare-using-machine-learning-transform-clinical-practice-discovery/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181128T180000
DTEND;TZID=UTC:20181128T200000
DTSTAMP:20260414T181224
CREATED:20181107T205120Z
LAST-MODIFIED:20181107T205120Z
UID:14971-1543428000-1543435200@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute Poster Session: Computing Systems
DESCRIPTION:OPEN TO ALL\n\n\nREGISTER HERE\n\n\nMudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)\n\n\nThe Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public an larger Columbia community. Light refreshments provided.\n\nEvent Contact Information: \nData Science Institute\n212-854-5660\ndatascience@columbia.edu
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-poster-session-computing-systems/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181126T180000
DTEND;TZID=UTC:20181126T200000
DTSTAMP:20260414T181224
CREATED:20181107T204931Z
LAST-MODIFIED:20181107T204931Z
UID:14969-1543255200-1543262400@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute Poster Session: Financial & Business Analytics
DESCRIPTION:OPEN TO ALL\n\n\nREGISTER HERE\n\n\nMudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)\n\n\nThe Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public an larger Columbia community. Light refreshments provided.\n\nEvent Contact Information: \nData Science Institute\n212-854-5660\ndatascience@columbia.edu
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-poster-session-financial-business-analytics/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181119T180000
DTEND;TZID=UTC:20181119T200000
DTSTAMP:20260414T181224
CREATED:20181107T204800Z
LAST-MODIFIED:20181107T204800Z
UID:14965-1542650400-1542657600@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute Poster Session: Foundations of Data Science
DESCRIPTION:OPEN TO ALL\n\nRSVP HERE\n\nMudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)\n\n\nThe Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public an larger Columbia community. Light refreshments provided.\n\nEvent Contact Information: \nData Science Institute\n212-854-5660\ndatascience@columbia.edu
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-poster-session-foundations-data-science/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181114T180000
DTEND;TZID=UTC:20181114T200000
DTSTAMP:20260414T181224
CREATED:20181107T204419Z
LAST-MODIFIED:20181107T204431Z
UID:14962-1542218400-1542225600@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute Poster Session: Smart Cities
DESCRIPTION:Mudd Hall\, 500 W. 120 St.\, New York\, NY 10027\nRoom/Area: 407 (Data Science Institute)\n\n\n\nThe Data Science Institute invites you to poster session that will highlight some of the recent and current research done by our centers. Open to the public an larger Columbia community. Light refreshments provided.\n\nEvent Contact Information: \nData Science Institute\n212-854-5660\ndatascience@columbia.edu
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-poster-session-smart-cities-center/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181114T103000
DTEND;TZID=UTC:20181114T120000
DTSTAMP:20260414T181224
CREATED:20180907T144746Z
LAST-MODIFIED:20180907T144746Z
UID:14390-1542191400-1542196800@entrepreneurship.columbia.edu
SUMMARY:Data Science Institute-Industry-Innovation Seminar: Johnson & Johnson
DESCRIPTION:OPEN TO ALL\n\n\nREGISTER HERE\n\n\nAmel Lageat\, Senior Director\, Consumer Business: “People centric approach to optimize Data Science\, Commercial impact and Leadership”\n\n \nWednesday\, November 14\, 2018\n10:30AM – 12:00PM\nSchapiro CEPSR\, Davis Auditorium (412)\n \n\n\n\nAbstract: In a world of Infobesity\, analysts\, engineers\, professionals\, executive leaders\, and people now have access to more data and analytics opportunities that we can ever make sense of. However\, a genuine people centric approach can provide the sharpest guidance in designing relevant strategies and solutions: it makes data\, models\, and analytics more meaningful and purposeful\, and also leads to marketing and commercial impact in global organizations.  In this talk\, I will use various business examples to discuss this premise\, including negative targeting (voluntarily deciding to not advertise to a person)\, the UX of marketing mix modeling (who is the real user?)\, and servant leadership to data experts (what does it look like?).\n\n\n–\nBio: Amel Lageat is heading up Global Analytics for the Johnson &Johnson Consumer Division. She has spent the last 20 years leading various commercial organizations within J&J (Marketing\, Market research and analytics)\, in France\, the UK and the US. Her recipe for impact is a fruitful combination of data\, curiosity and empathy.
URL:https://entrepreneurship.columbia.edu/event/data-science-institute-industry-innovation-seminar-johnson-johnson/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181108T160000
DTEND;TZID=UTC:20181108T180000
DTSTAMP:20260414T181224
CREATED:20180907T144414Z
LAST-MODIFIED:20180907T144414Z
UID:14388-1541692800-1541700000@entrepreneurship.columbia.edu
SUMMARY:Foundations for Research Computing Distinguished Lecture Series: Dr. Eric Xing\, Professor\, Department of Machine Learning\, Carnegie Mellon University Founder\, Chief Executive Officer\, and Chief Scientist\, Petuum\, Inc.
DESCRIPTION:OPEN TO ALL\n\nREGISTER HERE\n\nThursday\, November 8\, 2018\n\n4:00 p.m. – 5:00 p.m. Lecture\n5:00 p.m. – 6:00 p.m. Reception\nBrown Institute | 2nd Floor\, Pulitzer Hall (2950 Broadway)\n \n\nDr. Eric P. Xing is Founder\, CEO and Chief Scientist at Petuum Inc. He is a Professor in the School of Computer Science at Carnegie Mellon University. He is also the Associate Department Head for Research of the Machine Learning Department and the Founding Director of the Center for Machine Learning and Health at CMU. For his distinguished contributions in AI/ML\, he was elected a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI).\n\nDr. Xing is a thought and innovation leader in Machine Learning and Artificial Intelligence. His principal research interests are in the development of machine learning and statistical methodology and large-scale computational system and architectures\, for solving problems involving automated learning\, reasoning\, and decision-making in high-dimensional\, multimodal\, and dynamic complex systems. His pioneering research has created numerous AI/ML foundational techniques\, such as the Parameter Server\, distance metric learning\, distributed network inference\, dynamic networks\, dynamic nonparametric Bayesian models\, spectral graphical models\, and variational inference. He has authored or co-authored over 300 publications\, while receiving multiple Best Paper Awards.\n\nDr. Xing is a board member of the International Machine Learning Society\, program chair and general chair of the International Conference of Machine Learning (ICML)\, and a former member of the U.S. Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) Advisory group. He is the recipient of numerous awards including: The National Science Foundation (NSF) Career Award; Alfred P. Sloan Research Fellowship in Computer Science; United States Air Force Office of Scientific Research Young Investigator Award; and the IBM Open Collaborative Research Faculty Award.
URL:https://entrepreneurship.columbia.edu/event/foundations-research-computing-distinguished-lecture-series-dr-eric-xing-professor-department-machine-learning-carnegie-mellon-university-founder-chief-executive-officer-chief-scient/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181012T130000
DTEND;TZID=UTC:20181012T143000
DTSTAMP:20260414T181224
CREATED:20181008T215045Z
LAST-MODIFIED:20181008T215045Z
UID:14703-1539349200-1539354600@entrepreneurship.columbia.edu
SUMMARY:Truth-Seeking in the Age of Disinformation
DESCRIPTION:Friday\, October 12\, 2018\n1:00PM – 2:30PM\nPupin Hall\, Room 428\n \n\n“Truth-Seeking in the Age of Disinformation”\n \nAbstract: Given the constantly growing proliferation of false claims online in recent years\, there has been also a growing research interest in automatically distinguishing false rumors from factually true claims. In this talk\, we will present several related problems. First\, in the context of investigative journalism\, we will address the problem of automatically identifying which claims in a political debate are most worthy and should be prioritized for fact-checking. We will then present a general-purpose deep learning framework for fully automatic fact checking using external sources\, which taps the potential of the entire Web as a knowledge source to confirm or reject a claim. We will further extend this framework to the context of community question answering\, where the goal is to decide whether an answer to a factual question is factually true or false. We will also cover some related problems such as stance detection\, trust-worthiness estimation for Web sites\, political ideology\, bias and propaganda detection\, as well as finding seminar users and opinion manipulation trolls in news community forums.\n \nBio: Dr. Preslav Nakov is a Senior Scientist at the Qatar Computing Research Institute\, HBKU. His research interests include computational linguistics and natural language processing\, machine translation\, question answering\, fact-checking\, sentiment analysis\, lexical semantics\, Web as a corpus\, and biomedical text processing.\n \nAt QCRI\, he leads a project whose aim is to develop a news aggregation application to limit the effect of fake news\, propaganda and media bias by helping users step out of their bubble and achieve a healthy news diet. He is also a co-PI of an MIT-QCRI collaboration project on Arabic Speech and Language Processing for Cross-Language Informatio n Search and Fact Verification\, and he was a co-PI of another MIT-QCRI collaboration project on Speech and Language Processing for Arabic (2013-2016).\n \nPreslav Nakov received his PhD degree in Computer Science from the University of California at Berkeley (supported by a Fulbright grant and a UC Berkeley fellowship)\, and a MSc degree from the Sofia University. He was a Research Fellow at the National University of Singapore\, a honorary lecturer in the Sofia University\, and a research staff in the Bulgarian Academy of Sciences.
URL:https://entrepreneurship.columbia.edu/event/truth-seeking-age-disinformation/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20181011T160000
DTEND;TZID=UTC:20181011T180000
DTSTAMP:20260414T181224
CREATED:20180907T144110Z
LAST-MODIFIED:20180907T144110Z
UID:14386-1539273600-1539280800@entrepreneurship.columbia.edu
SUMMARY:Foundations for Research Computing Distinguished Lecture Series: Dr. Lorena Barba\, Associate Professor\, Department of Mechanical and Aerospace Engineering\, George Washington University
DESCRIPTION:OPEN TO ALL\n\nREGISTER HERE\n\nThursday\, October 11\, 2018\n4:00 p.m. – 5:00 p.m. Lecture\n5:00 p.m. – 6:00 p.m. Reception\nBrown Institute | 2nd Floor\, Pulitzer Hall (2950 Broadway)\n \n\nLorena A. Barba is an associate professor of mechanical and aerospace engineering at the George Washington University in Washington\, DC. She holds a PhD in aeronautics from the California Institute of Technology and BSc/PEng degrees in mechanical engineering from Universidad Técnica Federico Santa María\, Chile. Her research includes computational fluid dynamics\, high-performance computing\, computational biophysics\, and animal flight.\n\nAn international leader in computational science and engineering\, she is also a long-standing advocate of open source software for science and education\, and she is well known for her courses and open educational resources. She was a recipient of the 2016 Leamer-Rosenthal Award for Open Social Sciences\, and in 2017\, was nominated and received an honorable mention in the Open Education Awards for Excellence of the Open Education Consortium.\n\nProf. Barba received the NSF Faculty Early CAREER award (2012)\, was named CUDA Fellow by NVIDIA Corp. (2012)\, is an awardee of the UK Engineering and Physical Sciences Research Council (EPSRC) First Grant program (2007)\, is an Amelia Earhart Fellow of the Zonta Foundation (1999) and a leader in computational science and engineering internationally. She is a member of the Board of Directors for the NumFOCUS non-profit\, and a member of the editorial board for IEEE/AIP Computing in Science and Engineering\, The Journal of Open Source Software\, and The ReScience Journal.
URL:https://entrepreneurship.columbia.edu/event/foundations-research-computing-distinguished-lecture-series-dr-lorena-barba-associate-professor-department-mechanical-aerospace-engineering-george-washington-university/
CATEGORIES:Columbia Data Science Institute
END:VEVENT
END:VCALENDAR