Optimization · Computation · Data science
Haihao Lu
Cecil and Ida Green Career Development Assistant Professor
Assistant Professor of Operations Research & Statistics
I am an Assistant Professor at the MIT Sloan School of Management and a part-time faculty researcher at Google Research. My research connects optimization, computation, and data science. I develop theory, algorithms, and software for large-scale decision-making, linking mathematical insights with modern computing and practical impact.
Before joining MIT, I was an Assistant Professor at the University of Chicago Booth School of Business and spent one year as a postdoctoral researcher at Google Research. I received my PhD in Mathematics and Operations Research from MIT in 2019.
Research interests
Explore researchGPU-accelerated optimization
Algorithms and solvers for large-scale mathematical programming on GPUs and other modern computing architectures.
First-order optimization theory
Theory that explains algorithmic performance and guides the design of faster, more reliable first-order methods.
Online decision-making
Resource allocation under uncertainty, with applications to automated bidding, budget pacing, and online advertising.
Fair property taxation
Machine learning and optimization methods that reduce regressivity in property assessments while preserving predictive accuracy.
Awards
- 2026INFORMS Computing Society Prize
- 2026Sloan Research Fellowship (in Mathematics)
- 2024COIN-OR (Computational Infrastructure for Operations Research) Cup winner
- 2024Beale — Orchard-Hays Prize
- 2023INFORMS Revenue Management and Pricing Section Prize
- 2022Special invited session on 'spotlight beyond WINE' (conference on Web and Internet Economics)
- 2022Michael H. Rothkopf Junior Researcher Paper Prize (first place)
- 2021INFORMS Optimization Society Young Researcher Prize