I am a Postdoctoral Associate at Cornell University, working with Prof. Matthew J. MacLachlan to integrate Artificial Intelligence (AI) and machine learning into customer economics, infectious disease control, and evidence-based policy. Previously, I was a Postdoctoral Instructor at California Institute of Technology (Caltech), advised by Prof. R. Michael Alvarez, where I applied AI and Data Science at the Intersection of Public Health & the Environment, and designed a new course, Introduction to Public Health Economics and Policy. 

I have supervised student research at Caltech (Summer Undergraduate Research Fellowship, 2024) and the University of Cambridge, UK (Master’s Thesis, 2024), on interdisciplinary projects that apply AI to climate change, aging, health inequality, and energy efficiency. My work has been published in Scientific Data (Nature Portfolio), Scandinavian Journal of Public Health, and Journal of Economic Behavior & Organization, among others.

I received my Ph.D. in Economics (with a focus on Machine Learning) from the Norwegian University of Science and Technology in 2023. Before my Ph.D., I worked as a Bioinformatics Scientist at the University Medical Center Göttingen and as a Biostatistician at the Helmholtz Centre for Infection Research, gaining experience in high-dimensional medical and epidemiological data analysis. I am on the 2025–2026 academic job market.  Please find my CV [here].