I am a final-year Ph.D. student at MIT in the Clinical and Applied Machine Learning Group, where I am fortunate to be advised by John Guttag.
My research is at the intersection of machine learning, healthcare, and algorithmic fairness, with a focus on developing techniques to understand and update models in the presence of unreliable data. This work has taken many forms and includes:
Before this, I was at MIT for undergrad, where I majored in computer science with a concentration in South Asian studies. I have also spent time working with lovely collaborators at Microsoft Research (x2), Borealis AI, D.E. Shaw Research, Counsyl, and Aetion.