I am a fourth year PhD student at the UC Berkeley School of Information advised by Joshua Blumenstock. My research interests are in machine learning, global health, and development economics, with a focus on analyzing large digital traces to inform evidence-based policy. Before Berkeley, I received my BA in computer science from Harvard University where I conducted research on digital epidemiology with Mauricio Santillana. I am funded by a Microsoft Research PhD Fellowship and am affiliated with the Global Policy Lab and Berkeley AI Research (BAIR).
 
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