Events Calendar
This feed is a curated compilation of entrepreneurship events around the university.
Columbia Data Science Institute
FDT Center for Intelligent Asset Management – FinTech Lecture Series
OPEN TO ALL COLUMBIANS FDT Center for Intelligent Asset Management - FinTech Lecture Series "Fair Algorithms for Machine Learning" Michael Kearns Friday, February 8, 2019 Davis Auditorium 3:30 pm lecture followed by 4:30 pm reception Michael Kearns is a professor in the Computer and Information Science Department at the University of Pennsylvania, […]
Data Science Institute-Industry-Innovation Seminar: Amazon
OPEN TO COLUMBIANS Byron Cook, Professor of Computer Science at University College London (UCL) and Director of Automated Reasoning at Amazon Web Services Wednesday, March 6, 20108 6:00PM - 7:30PM Schapiro CEPSR, Davis Auditorium (412) Abstract: This talk will discuss the development and use of formal verification tools within Amazon Web Services (AWS) to increase […]
Data Science Day
OPEN TO ALL REGISTER HERE Wednesday, April 3, 2019 9AM–5PM Announcing the Keynote Speaker: Brad Smith President of Microsoft Join 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. Roone Arledge Auditorium Lerner Hall […]
Molecular Innovations for Live Cell Imaging (Presentation)
Thursday, May 9, 2019 4:00PM - 6:00PM Buell Hall 515 West 116th Street New York, NY 10027 The 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 […]
Machine Learning in Finance Workshop
OPEN TO ALL Purchase Tickets Here Friday, May 17, 2019 8:15 AM – 6:00 PM Columbia University - Lerner Hall 2920 Broadway, New York, NY 10027 The Data Science Institute (DSI) at Columbia […]
Deep Learning to Solve Challenging Problems with the SVP of Google AI
OPEN TO ALL DEEP LEARNING TO SOLVE CHALLENGING PROBLEMS Speaker: Jeff Dean, SVP Google AI / Lead, Google Brain Project Date: Tuesday, August 27, 2019 Time: 4:00pm - 5:30pm Location: Mudd 451 - Computer Science Building Light refreshments will be served For the past eight years, Google Research teams have conducted research on difficult problems […]
Data Science Institute-Industry-Innovation Seminar: Goldman Sachs
Free, open to the public, and does not require registration. Tuesday, October 1, 2019 11:00 AM - 12:30 PM Schapiro CEPSR - Davis Auditorium 530 West 120th Street, 4th Floor New York, NY 10027 Speaker #1: Mayur Thakur, Head of the Data Analytics Group, Global Compliance Division Biography: Mayur Thakur is head of the Data Analytics […]
NYC DS3 Seminar – How Can Machine-Learning Methods Help to Make Scientific Inferences?
Free, open to the public, and does not require registration. Wednesday, October 9, 2019 5:00 PM - 5:30 PM: Welcome 5:30 PM - 6:30 PM: Talk Schapiro CEPSR - Davis Auditorium 530 West 120th Street, 4th Floor New York, NY 10027 Talk Abstract: Machine learning in the form of standard supervised classification algorithms is […]
FinTech Lecture Series – Where on Earth is AI Headed?
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 […]
Data Science Institute Data For Good Series: Professor Sunil K. Agrawal
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 […]