About Me

I’m a second-year PhD student at MIT studying Computer Science, working in David Sontag’s Clinical Machine Learning research group. My research interests include developing learning algorithms for dealing with non-stationarity / dataset shift in predictive modelling, as well as lack of overlap in causal inference.

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.