I work on probabilistic machine learning, deep learning, and probabilistic programming in the Uncertainty team within Probability at Meta.
In my recent work, I have focused on researching Bayesian Neural Networks and decision making under Uncertainty. I am interested in building data-efficient systems that are aware of and utilize their own uncertainty.
In my past, I was a researcher and at Uber AI Labs and startup Geometric Intelligence, where I contributed to projects such as the Pyro probabilistic programming language (pyro.ai ). I have previously worked on probabilistic modeling & ML for Biology, Healthcare, and Computer Vision applications.
Probabilistic modeling and probabilistic programming, Bayesian inference, deep learning, decision making under uncertainty