About me

I am an assistant professor at Georgia Tech, in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE).

In my research, I leverage data, optimization, and machine learning to solve practical problems that matter to society. I am interested in applications of mixed-integer optimization in transportation, machine learning, educational operations and public policy. Some past projects include redesigning school bus routes in Boston, public school schedules in San Francisco, and course timetables at MIT.

Prior to joining ISyE, I was a postdoctoral fellow at Lyft Rideshare Labs, working on experimentation in two-sided marketplaces. I completed my PhD at the MIT Operations Research Center in 2021. I also spent time as a research intern at Google on the Operations Research team.

Recent News

07/2024 I'll be presenting about experimentation and shadow prices under interference at MSOM, RMP, and ISMP. Come talk to me about matching markets!

06/2024 Our work with Zhen Lian and Sebastien Martin on optimizing school start times in San Francisco is a semi-finalist for the INFORMS Wagner Prize.

06/2024 Had a great time exploring three-dimensional bin packing with LEGOs as part of Georgia Tech's iExperience summer camp!

05/2024 Our paper with Dimitris Bertsimas and Jean Pauphilet on impute-then-regress strategies in prediction is accepted at TMLR.

03/2024 Our paper with Ido Bright and Ilan Lobel on reducing marketplace interference bias using shadow prices is accepted at Management Science.