I teach in INSEAD’s MIM, MBA, and PhD programmes. I developed the MIM core course Machine Learning and Optimization and the PhD core course Mathematical Foundations.
Machine Learning and Optimization — MIM core
Decision Models — MBA elective
Business Foundations, Quantitative Methods — MBA P0
Mathematical Foundations — PhD core
Probability and Statistics A and B — PhD core
Teaching assistant for:
Convex and Conic Optimization — PhD
Computing and Optimization — junior level
Fundamentals of Statistics — sophomore level
Probability and Stochastic Systems — junior level
MIM Teaching Award, Best Core Course, INSEAD — 2026, 2024, 2022
Graduation recordings: 2026 ceremony · 2024 playlist · 2022 playlist
Finalist, MIM Teaching Award, Best Core Course, INSEAD — 2025, 2023, 2021
Dean’s Commendation for Excellence in MIM Teaching, INSEAD — 2025–2026, 2024–2025
Finalist, MBA Teaching Award, Best Elective Course, INSEAD — MBA 20J
Dean’s Commendation for Excellence in MBA Teaching, INSEAD — 2019–2020
Winner, INFORMS Case Competition — 2021
Awarded annually for the development of innovative teaching cases in operations research, management science, and analytics.
IISE Award for Excellence in Teaching of Operations Research — 2017
Awarded annually for excellence in undergraduate teaching of operations research, with nominations open worldwide.
Graduate School Teaching Award, Princeton University — 2016
Engineering Council Teaching Award, Princeton University — 2014
Integration Planning at SFB
Piyush Gulati, Georgina Hall, and Anton S. Ovchinnikov (2021). INSEAD case with teaching note.