Philip Klein
Amazon Scholar at Brown University
Newton, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPhilip Klein is a visiting professor and seasoned algorithmic researcher who designs fast, practical algorithms for discrete optimization problems, with notable impact in maps, mobility, and nonpartisan redistricting. As a professor at Brown and a research scientist at Lyft, he moved research into production—implementations that cut millions in compute costs—while holding visiting roles at ETH Zürich, UC Boulder, and the Simons Institute. His work blends theoretical rigor from a PhD at MIT with applied systems experience at industry leaders like Lyft and Amazon, enabling robust solutions for real-world geospatial challenges. Beyond publications, he advises startups and collaborates across academia and industry, bringing a rare combination of deep theory and production-grade engineering to transportation and redistricting problems.
8 years of coding experience
5 years of employment as a software developer
Ph.D. Computer Science, Ph.D. Computer Science at Massachusetts Institute of TechnologyA.B. Applied Mathematics, A.B. Applied Mathematics at Harvard University
Github Skills (7)
intellij7
intellij-plugin7
ide5
kotlin4
java4
bazel4
bazel-rules3
Programming languages (1)
Github contributions (2)
pnklein/district
Mar 2018 - Jan 2019
Contributions:7 commits, 66 pushes, 6 branches in 9 months
bazelbuild/intellij
Jun 2020 - Jun 2020
IntelliJ plugin for Bazel projects
Contributions:1 comment in 1 day
bazelkotlinideintellij-pluginjava
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