I am a Postdoctoral Associate at Yale University, where I use Artificial Intelligence (AI) approaches on large clinical-trial datasets. My goal is to build models that improve causation, treatment evaluation, and decision support in real medical settings. Before Yale, I was a Postdoctoral Scholar Teaching Fellow at California Institute of Technology (Caltech), applying deep/machine learning to environmental and public health questions. My work has been published in Scientific Data (Nature Portfolio), Scandinavian Journal of Public Health, and Journal of Economic Behavior & Organization, among others. 

I really enjoy teaching! I have designed a new course, Introduction to Public Health Economics and Policy, at Caltech and led interdisciplinary projects, supervising student research that included a master's student at Cornell University, a Caltech Summer Undergraduate Research Fellowship project, and a master’s thesis at the University of Cambridge, UK. 

I earned my Ph.D. in Economics with a focus on machine learning from the Norwegian University of Science and Technology in 2023. Previously, I gained experience analyzing high-dimensional medical and epidemiological data at the University Medical Center Göttingen and the Helmholtz Centre for Infection Research.