Haihao Lu is an Assistant Professor of Operations Research/Statistics at the MIT Sloan School of Management. Before joining MIT Sloan, he was an Assistant Professor at the University of Chicago Booth School of Business and a faculty researcher at Google Research's large-scale optimization team. He obtained his PhD degree in Mathematics and Operations Research at MIT in 2019.

Lu’s research primarily focuses on extending the computational and mathematical boundaries of methods for solving the large-scale optimization problems that arise in data science, machine learning, and operations research. Most of his research is motivated by real-world applications faced by leading Internet companies. Currently, he is particularly enthused about two lines of research:

Develop new first-order optimization algorithms, theoretical guarantees and computational tools to speed up and scale up mathematical programming by utilizing modern computing architectures, such as GPUs and distributed computing. These optimization problems include, but are not limited to, linear programming, quadratic programming, second-order cone programming, and nonlinear programming.

Develop new data-driven optimization algorithms for the allocation of scarce resources and study their provable performance guarantees. A motivation for this line of research is the budget pacing in online advertising platforms, where he proposes efficient and robust algorithms that have already been utilized in major Internet companies. 

His research has been recognized by several research awards, including Beale—Orachard-Hays Prize, INFORMS Optimization Society Young Researchers Prize, INFORMS Michael H. Rothkopf Junior Research Paper Prize (first place), INFORMS Revenue Management and Pricing Section Prize. Notably, the algorithms and software developed in his research have been utilized in leading technology companies and generated significant revenue impacts.