I’m a Postdoctoral Associate at Yale University and a Research Statistician at the VA Connecticut Healthcare System. 

I develop AI-driven causal inference frameworks for high-dimensional observational health data, using generative models and representation learning to integrate complex data into causal analysis and address challenges such as unobserved confounding. I apply these methods to large-scale datasets, including electronic health records and environmental data, to study how exposures such as air pollution, climate variability, and policy interventions affect health outcomes and disparities.

I will join Biometrics as an Associate Editor in July 2026 and also serve as an Associate Editor for the Scandinavian Journal of Public Health.

Before Yale, I was a postdoc at Cornell University and a  Postdoctoral Scholar Teaching Fellow at the California Institute of Technology (2023–2025). I earned my Ph.D. in Economics (Machine Learning and Health Applications) from the Norwegian University of Science and Technology in 2023.