I am a Ph.D. student at Harvard University, where I am advised by Salil Vadhan.
My research interests lie in theoretical computer science (algorithms & complexity theory) with a focus on optimization/learning with constraints. Example application domains include data privacy, algorithmic fairness, and machine learning.
Currently, my research is (mostly) supported by a Facebook Emerging Scholars Award. I spent the summer of 2018 at Microsoft Research New England mentored by Adam Kalai! In my first year at Harvard, under supervision by Cynthia Rudin and Margo Seltzer, I dabbled in interpretable ML models. Previously, I spent a year as a (non-PhD) graduate research scholar at Columbia University, working with Chris Wiggins and Eugene Wu. Before coming back to academia, I was a Software Engineer on the distributed systems team at MongoDB. I obtained my bachelor's degrees in Mathematics and Computer Science from Carleton College where I was a Kellogg International Scholar.
In my free (and not-so-free) time, I participate in ballroom activities as a member of Harvard's Competitive Ballroom Dance Team.