Summary
Coleman Broaddus is a Senior Software Engineer based in Virginia with a PhD in Computer Science from the Max Planck Society and a decade of hands-on experience in machine learning and image processing. His background spans physics and biophysics, giving him a strong interdisciplinary approach to modeling, signal analysis, and algorithm design. Currently at Antithesis, he applies research-grade methods to production problems, bridging the gap between novel ML research and robust engineering. Known for a curious, tinkerer mindset—aptly reflected in his GitHub quip—he favors exploring systems deeply and iterating quickly to solve hard technical challenges. Coleman’s blend of academic rigor and practical delivery makes him effective at turning complex imaging research into deployable software.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Max Planck Society
Master of Science - MS, Biophysics, Master of Science - MS, Biophysics at Technische Universität Dresden
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Carnegie Mellon University