About

Current

Adjunct Associate Professor
School of International & Public Affairs
Columbia University

Contact

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