Adam Wagner is a research scientist at Google DeepMind with a strong academic foundation—PhD and Master's in Mathematics from top institutions—and eight years of experience bridging combinatorics, graph theory and machine learning. He has authored 25+ peer-reviewed papers and his ML work was featured in Quanta, reflecting research that resonates beyond academia. A former tenure-track assistant professor who has organized conferences and mentored students, he combines rigorous theory with practical Python implementations on cutting-edge AI projects. Comfortable working internationally, he has successfully collaborated across disciplines—from biology to voting systems—bringing a mathematician’s precision to applied problems. Known for jumping into unfamiliar domains, he excels at translating deep mathematical ideas into deployable algorithms.
8 years of coding experience
6 years of employment as a software developer
Master's degree Mathematics, Master's degree Mathematics at University of Cambridge
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at University of Illinois Urbana-Champaign
sprout and bono, the Clearwater SIP router and edge proxy
Contributions:57 commits, 17 PRs, 33 pushes in 5 months
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Adam Wagner - Research Scientist at Google DeepMind