Research, consulting and teaching experience at litigation consulting firms (Bates White LLC, Charles River Associates, Berkeley Research Group), central banks (Bank of Canada, and Centre for Advanced Financial Research @ Reserve Bank of India), and academia (New York University, Duke University, and Delhi University).

Industry experience focused on predicting counterfactuals, analyzing correlations and causal patterns in data linking them to economics of the market, macroeconomic news, institutional and regulatory changes, collating extensive data bases and determining econometrics models including machine learning and other big data tools to facilitate the same.

Consulting advise led to establishing liability and award of damages in numerous antitrust, commodities, and financial markets investigations in the USA.

Research insights informed industry and central bank policy on fixed income markets, debt management, and monetary policy implementation in India, China, and Canada.

Managed teams of between 2-10 researchers, Ph.D. economists, data scientists, analysts, engineers several of whom had expertise in big data techniques.

Frequently invited to present at and organize conferences. Publications in scholarly and industry journals and press citations.

Currently teach graduate courses at New York University including Machine Learning in Economics, Causal Inference, Microeconometrics, Statistics & Econometrics II.