I am a health economist applying economic theory and causal econometric modeling to high-impact problems in U.S. health care — across both the supply side (AI tools in Health Care, health system quality and prices, equity, provider networks, and payment reform) and the demand side (mental health, suicide, substance use, obesity).
My research portfolio blends applied microeconomics, structural modeling, and quasi-experimental methods to address real-world market failures in health care delivery and health policy.
I lead multiple funded studies as Principal Investigator, including work supported by The Pew Charitable Trusts, the Michigan Health Endowment Fund, and other national foundations — spanning behavioral health, Medicaid access, and payment reform.
A core focus of my work is resource optimization and value-based care for health systems — including economic and cost analysis of the impact, effectiveness, and sustainability of interventions in areas such as suicide prevention, stroke detection, and AI-enabled scribing. I focus on high-cost, high-value decisions that sit at the intersection of clinical effectiveness, delivery infrastructure, and policy financing. I have received awards for outstanding authorship, and my research has contributed to over $400 million in public-sector savings through reforms in county-based health insurance programs in California.
I hold a PhD in Economics, with postdoctoral training at Rutgers University and University of California at Berkeley, and currently serve as Assistant Scientist at Henry Ford Health and Assistant Professor at Michigan State University. I co-founded and currently lead a monthly online seminar on Health Economics for Health Systems (coming soon), focused on economic methods and evidence for researchers from all fields interested in economics.
For research collaboration, funding partnerships, or invited talks, please contact me via email.
Email: arjun.teotia@gmail.com | teotiaar@msu.edu | ateotia1@hfhs.org
Phone: (404) 200 1281