Heidi Williams

Heidi Williams (born 1981) is the Charles R. Schwab Professor of Economics at Stanford University[2] and a member of the National Bureau of Economic Research. She is a graduate of Dartmouth College, and earned her MSc in development economics from Oxford University and her PhD in Economics from Harvard University. Prior to Stanford, Williams was an associate professor at the Massachusetts Institute of Technology.[3]

Heidi Williams
Born1981 (age 3940)
United States
NationalityUnited States
Alma materDartmouth College; Oxford University; Harvard University
Known forEconomics of Innovation
Scientific career
FieldsEconomist
InstitutionsStanford University
Doctoral advisorDavid Cutler[1]
Amy Finkelstein[1]
Lawrence F. Katz[1]

Williams is an applied micro-economist who works on the causes and consequences of technological change in health care markets. Specifically, she studies economic and policy factors that affect medical innovation, and quantifies the impacts of "missing innovation" that could have been beneficial for human health and medicine.[4] She is most well known for her work on the Human Genome Project. In her dissertation research, Williams shows that intellectual property held by the company Celera on human genome sequences had negative consequences for the development of scientific research and genetic tests based on those genes.[5] In some other work, Williams and her co-authors show that pharmaceutical firms under-invest in research in early-stage cancer drugs because they take longer time to get to market, as compared to drugs for late-stage cancer.[4]

In 2015, Williams was made a MacArthur Fellow, a grant given yearly to 25 people around the world to continue work in their fields.[6] Her citation[7] for that award noted:

Heidi Williams is an economist unraveling the causes and consequences of innovation in health care markets. Williams combines finely grained empirical observations and custom-designed data collection methods to build entirely new datasets about technological changes in health care. In addition, her creative methods for determining causal inference, and keen understanding of regulatory law, biological science, and medical research, have allowed her to trace the interplay among institutions, market behavior, and public policy–relevant outcomes.

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