Summary
Philip Kalikman is an assistant professor of finance, real estate, and economics at the University of Cambridge who blends rigorous academic training (PhD/MPhil/MA from Yale; BA in pure Mathematics from UChicago) with a decade of applied experience across academia, policy, and industry. His research leverages high-resolution, real-world data and machine learning to tackle mortgage markets, housing, consumer lending, and AI-driven modeling, aiming to inform investors, policymakers, and practitioners. He teaches undergraduate, graduate, and executive courses, has been nominated for a university-wide teaching prize, and frequently presents at top institutions including the Fed and MIT. Outside academia he advises hedge funds and fintechs, serves as an expert witness in multimillion-dollar real estate cases, and runs his own advisory and venture firm in New York. Notably, he combines quantitative model development experience from hedge funds and startups with policy-facing research, bridging the gap between cutting-edge methods and practical decision-making.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Economics, Doctor of Philosophy - PhD Economics at Yale University
Diploma, Diploma at Phillips Exeter Academy
Bachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at University of Chicago