I’m a Postdoctoral Associate at Yale University and a Research Statistician at the VA Connecticut Healthcare System. My work combines machine learning, causal inference, representation learning, and generative AI to study clinical outcomes and aging, with applications in precision medicine. More broadly, I am interested in developing trustworthy and interpretable AI systems that support evidence-based clinical decision-making using complex healthcare data.

Before Yale, I was a Postdoctoral Associate at Cornell University and a Postdoctoral Instructor at the California Institute of Technology (2023–2025). I earned my Ph.D. in Economics, with a specialization in machine learning, from the Norwegian University of Science and Technology in 2023. Beginning in July 2026, I will serve as an Associate Editor for Biometrics and the Scandinavian Journal of Public Health.