Columbia Entrepreneurship

FinTech Lecture Series - Where on Earth is AI Headed?
2019-10-25 14:00 - 15:30 UTC
Free, open to the public, and does not require registration.

Where on Earth is AI Headed?

Friday, October 25, 2019

2:00 PM – Lecture

3:00 PM – Reception

Schapiro CEPSR – Davis Auditorium

530 West 120th Street, 4th Floor
New York, NY 10027

Speaker: Tom M. Mitchell – Founders University Professor, School of Computer Science

Speaker 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).

Data Science Institute Data For Good Series: Professor Sunil K. Agrawal
2019-11-01 12:00 - 13:30
Free, open to the public, and does not require registration.

Friday, November 1, 2019

12:00 PM – 1:30 PM

Northwest Corner Building – Room 1406
550 West 120th Street, 14th Floor
New York, NY 10027

**REGISTRATION IS REQUIRED: PLEASE CLICK HERE TO REGISTER.**

Robotics to Characterize, Retrain, and Restore Human Movements

Neural 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.
Speaker: 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 )
Speaker 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.
Website: https://me.columbia.edu
Google Scholar Page:
https://scholar.google.com/citations?hl=en&user=zavGyr4AAAAJ&view_op=list_works&sortby=pubdate

Data Science Day 2020
2020-03-13 08:00 - 17:00
Open to the Public
RSVP

The 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).
If 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.

Online Sneak Peek for Data Science Day 2020
2020-03-31
Open to the public.
The 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).
If you have purchased a ticket for March 31, you will receive a full refund within the immediate future.
If 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.
Details for the online sneak peek are TBA

Data Science Day 2020 | Ethics & Privacy: Terms of Usage
2020-09-14 10:00 - 11:30
RSVP here

As 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.
Ethics 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.

Machine Learning in Science and Engineering (MLSE)
2020-12-14 08:00 - 2020-12-15 17:00
Register here.
MLSE 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.

Data Science Day 2021
2021-04-21 10:00 - 13:00
Open to the public
Register here

Data 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.
The 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.

Columbia-IBM Center for Blockchain and Data Transparency Showcase 2021
2021-06-16 10:30 - 14:00
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.
Join 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.
RSVP

Data Science Day 2022
2022-04-06 08:00 - 17:00
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.
Register here

AI and Entrepreneurship Talk: Parag Agrawal, Parallel.ai CEO and Cofounder
2026-02-05 11:00 - 12:00
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.

This week join to hear from:

Parag Agrawal, Parallel.ai CEO and Cofounder
11AM February 05, 2026 Davis Auditorium
Parag 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.

February 27 Lecture Series in AI: Ali Farhadi, CEO of AI2
2026-02-27 10:30 - 12:00
Columbia Engineering Lecture Series in AI
Friday, February 27: Ali Farhadi, CEO of Allen Institute for Artificial Intelligence (AI2) & Professor, University of Washington

10:30-11:00am Check-in
11:00-12:00pm Lecture

Advance registration is required for both Columbia affiliates and non-affiliates
REGISTER HERE
ABOUT THE LECTURE
“What is the Language Model of a Crow?”
ABOUT THE SPEAKER
Ali 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.

Data Science and AI Exchange 2026
2026-04-14
Join the Data Science Institute on April 14th to explore how leaders across academia, industry, and government are shaping the future of Responsible AI.
Learn more.
