Haihao Lu

Haihao Lu is an Assistant Professor of Operations Research/Statistics at the MIT Sloan School of Management. He previously held a position at the University of Chicago Booth School of Business and contributed to Google Research's optimization team. He earned his PhD in Mathematics and Operations Research from MIT in 2019.

• Affiliations: MIT Sloan School of Management
• Previous Roles: Assistant Professor at University of Chicago, Faculty Researcher at Google

His research focuses on advancing computational methods for large-scale optimization problems in data science, machine learning, and operations research. Key areas include first-order optimization algorithms leveraging GPUs and distributed computing, and data-driven resource allocation (e.g., budget pacing in online advertising). His work has led to impactful software like PDLP and cuPDLP.jl, adopted by major tech companies.

His publications emphasize scalable optimization techniques and their real-world applications. Notable contributions include GPU-accelerated linear programming solvers and frameworks for fairness in online allocation.

• Key Awards: Beale—Orchard-Hays Prize, INFORMS Optimization Society Prize, Rothkopf Prize

Lu collaborates on projects involving marketing science and auction mechanisms, bridging theoretical optimization with practical industry challenges. His research has generated significant revenue impacts through algorithmic innovations.