Will Adler is a policy-minded technologist and elections expert with 11 years of experience at the intersection of data, law, and public policy. Currently Senior Associate Director of the Bipartisan Policy Center’s Elections Project, he has led work on election administration, security, and disinformation and previously served as a AAAS Congressional Science & Engineering Fellow in the U.S. Senate. His background blends computational research (Princeton Gerrymandering Project), academic training (PhD in Neuroscience from NYU), and hands-on policy impact—drafting legislation, testifying before state legislatures, and authoring widely cited analyses used in litigation and press. Equally comfortable teaching programming to law students and building tools to clean and share precinct geographies, he brings a rare combination of technical rigor, legal insight, and public-facing communication.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Doctor of Philosophy (Ph.D.), Neuroscience at New York University
Bachelor’s Degree, Psychology, Bachelor’s Degree, Psychology at Carleton College
Use experiments, modeling, and simulation to determine if perceptual confidence emerges from Bayesian or heuristic computations. 🧠
Contributions:1 release, 358 commits, 5 PRs in 7 years 10 months
heuristicconfidencepythonperceptuallinear-models
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