I’m a Postdoctoral Associate in the Department of Biostatistics at Yale School of Public Health and a Research Statistician at the CSP Coordinating Center (CSPCC), VA Connecticut Healthcare System

My research develops mechanism-informed causal AI by integrating causal inference, statistical machine learning, and artificial intelligence to generate actionable evidence for precision medicine, public health, and health policy. I combine methodological innovation with interdisciplinary applications in precision medicine, environmental health, health policy, and population science using electronic health records, clinical trials, environmental data, genomics, and other multimodal datasets. 

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