Thomas Leeper is a staff research scientist and software-savvy behavioral scientist with 13 years of experience bridging political science research and production data systems. He builds data-driven software and experiments to improve computational and human decision-making, pairing a PhD in political science with hands-on engineering work at Meta. An active R hacker and open-source contributor, he has improved documentation for the widely used Dataverse research data repository and contributed backend S3 tooling to the cloudyr ecosystem. His background ranges from academic roles at LSE and Aarhus to applied research and engineering at scale, giving him a rare mix of rigorous causal inference skills and practical API- and cloud-focused development experience.
13 years of coding experience
12 years of employment as a software developer
BA, Political Science and Global Studies, BA, Political Science and Global Studies at University of Minnesota
PhD, Political Science, PhD, Political Science at Northwestern University
Contributions:3 releases, 220 commits, 36 PRs in 5 years 1 month
Contributions summary:Thomas's primary contribution appears to be related to the implementation and modification of methods for interacting with Amazon S3 buckets. Their work focuses on defining and modifying various functions within the package related to bucket management, including getting, deleting, and putting objects within the bucket. The commits indicate changes to the structure of these functions, including modifications to URL construction and handling responses. They have also made updates related to bucket versioning.
Contributions:7 commits, 3 PRs, 19 comments in 1 year 9 months
Contributions summary:Thomas primarily focused on improving and updating the Dataverse API documentation. They fixed typos, changed outdated references, and added new information about the API endpoints and client libraries. Their work included updating examples using `curl`, clarifying API key usage, and documenting the search API. This involved modifications to multiple API guide files.
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