I am a co-founder of and Principal Research Scientist at Bioptimus, working on building the first universal foundational model for biomedical applications. Prior to this, I was a Senior research scientist at Google DeepMind, where I studied how the diversity of a model’s predictions informs the models’ own uncertainty. I received my PhD from MIT, working with Suvrit Sra and as a member of the Machine Learning and Learning and Intelligent Systems groups. My PhD work focused on deriving and sampling from negatively dependent measures, which use Strongly Rayleigh polynomials to encode desirable properties in distributions over subsets of diverse items.