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Matthew Grennan

Associate Professor | Faculty Co-Director, Robinson Life Science, Business, & Entrepreneurship Program, Haas School of Business

circle headshot of Matthew Grennan

Matthew Grennan joined the Haas School of Business in July 2021 as the Robinson Chancellor’s Chair and Faculty Co-Director of the Robinson Life Science, Business, and Entrepreneurship program. He is an Associate Professor in the Economic Analysis & Policy and Innovation & Entrepreneurship groups. He was previously on the faculty at Wharton and Toronto (Rotman) and received his PhD from NYU (Stern). He is also a Faculty Research Fellow at the National Bureau of Economic Research and an Editor at the Journal of Political Economy Microeconomics.

Grennan’s research studies health care markets, products, and organizations using empirical and theoretical models from industrial organization economics. His recent work examines how complex incentives and imperfect information affect how health technologies are adopted, priced, and ultimately deliver value for society. Grennan’s research relates closely to his teaching in health care entrepreneurship, data analytics, and technology strategy. It also informs recent business and public policy debates regarding price transparency, relationships between physicians and industry, regulation of new products, and antitrust concerns about market power in the health care sector.

Grennan has received teaching awards from Wharton, Toronto (Rotman), and Poets & Quants. His research has been published in the top general interest journals in economics, management, and policy, including the American Economic Review, Management Science, and Health Affairs. Grennan’s research has been funded through leading institutions such as the National Science Foundation and National Institute for Health Care Management.

Academic Background
  • Ph.D., Strategy/Economics, New York University, Stern School of Business
  • M.S., Applied Economics, University of Minnesota
  • B.S., Industrial Engineering, Iowa State University
Data Science for Leaders Program
Hero Patern
COBE Eligible

Data Science for Leaders Program

Harness data science and business analytic insights to inform business decisions, strategy, execution, and leadership.

3 Days