Neal Parikh

Focus Area: Artificial Intelligence

Neal Parikh is an Adjunct Associate Professor of International and Public Affairs, specializing in artificial intelligence and related topics in computer science and technology policy. He most recently served as the first Director of Artificial Intelligence for the City of New York and led the work on creating the City’s first comprehensive Artificial Intelligence Strategy. 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 has previously taught technical courses at the masters and Ph.D. level at Stanford University and Cornell Tech in New York City.

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.

Education

• PhD in Computer Science, Stanford University
• BAS, summa cum laude, Computer Science and Mathematics, University of Pennsylvania