About Me

I’m a first-year PhD student at MIT studying Computer Science, working in David Sontag’s Clinical Machine Learning research group. My primary interests are at the intersection of machine learning and causal inference, with applications in healthcare.

In a previous life, I did a bunch of mostly healthcare-related stuff, like lead the Data Science team at Clarify Health, a healthcare startup focused on population health. I also used to live in Kenya, where I helped launch the McKinsey Nairobi office and managed consulting projects for government clients in Eastern and Southern Africa.

I studied Statistics at Harvard and was advised by Edo Airoldi on my senior thesis, which quantified some limitations of current methodology for measuring HIV prevalence among hard-to-survey populations.