About
Current
Adjunct Associate Professor
School of International & Public Affairs
Columbia University
Contact
[email protected]
Bluesky: @nparikh.org
Bio Data
Neal Parikh is a computer scientist who most recently served as the first Director of Artificial Intelligence for New York City and is currently Adjunct Associate Professor in the School of International & Public Affairs at Columbia University, where he teaches a course on AI for policymakers. Previously, he co-founded a technology startup, SevenFifty, which was acquired after 10 years in operation, was Inaugural Fellow at the Aspen Tech Policy Hub at the Aspen Institute, and worked as a senior quantitative analyst at the Quantitative Investment Strategies Group at Goldman Sachs.
He received his Ph.D. in computer science from Stanford University, focusing on large-scale machine learning and convex optimization. His research has received over 20,000 citations in the academic literature and is widely used in industry.
Previously
Director of Artificial Intelligence
New York City
Inaugural Fellow
Aspen Tech Policy Hub
The Aspen Institute
Visiting Lecturer
Cornell Tech · Operations Research and Information Engineering
Cornell University
Co-Founder
SevenFifty
Senior Quantitative Analyst
Quantitative Investment Strategies
Goldman Sachs
Education
Ph.D. in Computer Science
Advisors: Stephen Boyd, Daphne Koller
Department of Computer Science
Stanford University
Places:
Artificial Intelligence Laboratory
Information Systems Laboratory
Support:
DARPA XDATA
NSF Graduate Research Fellowship
Cortlandt & Jean E. Van Rensselaer Engineering Fellowship
B.A.S., summa cum laude
Computer & Information Science · Mathematics
University of Pennsylvania