I am currently a Pre-doctoral Research Fellow at the National Bureau of Economic Research, where I work with Heidi Williams. I was previously at the Stanford Institute for Economic Policy Research. My research interests are in the economics of science and innovation, machine learning, and public policy. I received a B.S. in Public Policy from Cornell University's Jeb E. Brooks School of Public Policy in 2022.

email: manleyh@nber.org | twitter: @henrymanley


Working Papers

The Wandering Scholars: Understanding the Heterogeneity of University Commercialization 

With Josh Lerner, Carolyn Stein, & Heidi Williams 

draft | online appendix  | NBER working paper #32069

In Progress

Backcasting Population Data for Children in the 1960s with Supervised Learning 

With Esra Kose & Doug Miller 


New Data on War on Poverty Programs in the 1960s 

With Esra Kose & Doug Miller

Research Experience

2023 - Present: Pre-doctoral Research Fellow with Heidi Williams, National Bureau of Economic Research

2022 - 2023: Pre-doctoral Research Fellow with Heidi Williams, Stanford Institute for Economic Policy Research

2019-2022: Research Assistant to Doug Miller, Cornell Brooks School of Public Policy

2021: Summer Research Assistant to Enrique Martínez-García, Federal Reserve Bank of Dallas 

2019: Summer Research Assistant to Peter Enns, Roper Center for Public Opinion Research 

2018-2020: Research Assistant to Christopher Wildeman, Cornell Brooks School of Public Policy 

Honors & Awards

2022:  Departmental Honors with High Distinction, Cornell Brooks School of Public Policy

2022: Outstanding Senior Award, Cornell Brooks School of Public Policy

2020: Alan D. Mathios Research and Service Grant

2020: Blackstone Techstars Fellowship

2019: Cornell Human Ecology Summer Research Grant

2019: Cornell Contribution Project Grant

Invited Presentations

2023: Population Association of America Annual Meeting: Data & Methods

2022: Cornell Undergraduate Research Board TedX

Relevant Coursework & Training

Economics coursework:

Mathematics & Computer Science coursework: