I'm a postdoctoral scholar in the D-Lab at UC Berkeley. Previously, I obtained my PhD in the Physics Department at UC Berkeley, conducting research in the Redwood Center for Theoretical Neuroscience under Kristofer Bouchard and Mike DeWeese. My graduate research was funded by the Department of Defense through the NDSEG Fellowship.

My current research interests focus largely on applications of machine learning in society, with an emphasis on automated hate speech measurement. My graduate research focused on neural variability: its structure, implications for neural coding, and impacts on phenomenological models of neural activity. Prior to that, I studied the stability of hybrid stars.

I've also worked in the realm of leveraging data and machine learning in the non-profit and mission-driven space. I've completed a DataCorps project with DataKind, a Data Fellowship with Delta Analytics, and a Data Science for Social Good Fellowship at the University of Washington.

I'm deeply committed to promoting diversity, equity, and inclusion in academia. When I'm not doing research, I spend time thinking about how to solve and raise awareness for issues regarding racial and gender justice.

I also enjoy cycling, running, backpacking, crosswords, and preparing large feasts.