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
In Progress
The Wandering Scholars: Understanding the Heterogeneity of University Commercialization [draft]
With Josh Lerner, Carolyn Stein, & Heidi Williams
Backcasting Population Data 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:
Ph.D. Health Economics II, with Maria Polyakova & Dave Chan
Ph.D. Public Economics II, with Petra Persson & Rebecca Diamond
Ph.D. Market Design I, with Al Roth & Mike Ostrovsky
Ph.D. Applied Econometrics, with Doug Miller
Causal Reasoning and Inference, with Max Kapustin
Economics of Crime, with Max Kapustin
Regression Analysis, with Brandon Tripp
Behavioral Economics, with Brandon Tripp
Mathematics & Computer Science coursework:
Honors Real Analysis, with Anil Nerode
Linear Algebra, with Anil Nerode
Vector Calculus, with James West
Data Mining & Machine Learning, with Yang Ning
Computing in Python, with Walker White
Object-Oriented Programming and Data Structures, with David Gries