I am a postdoctoral fellow at Lyft Rideshare Labs. I recently completed my PhD at the MIT Operations Research Center, advised by Dimitris Bertsimas. My primary aim as a researcher is to leverage data, optimization, and machine learning, to solve practical problems that matter to society. In particular, I am interested in applications of mixed-integer optimization in transportation, machine learning, educational operations and public policy.
I am passionate about high-impact applied projects. In 2020, I participated in the COVIDAnalytics initiative, which was awarded the 2020 Pierskalla Award. With Cindy Barnhart and Julia Yan, we designed optimization tools to support MIT's pandemic planning for the 2020-2021 school year, including constructing the Fall 2020 course schedule for MIT Sloan.
I have also worked on developing algorithms for routing school buses and optimizing school start times. With Dimitris Bertsimas and Sebastien Martin, we won first place in the Boston Public Schools Transportation Challenge in June 2017. Along with Boston Public Schools we were finalists for the 2019 Franz Edelman Award.
In the summer of 2019, I was a research intern in the Google OR team in Cambridge, MA, working with Ross Anderson and Christian Tjandraatmadja on reinforcement learning methods for combinatorial problems.