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.
sprout and bono, the Clearwater SIP router and edge proxy
Contributions:57 commits, 17 PRs, 33 pushes in 5 months
proxysip
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