August Guang is a data scientist and computational biologist with 13 years of experience bridging probability, phylogenetics, and genomics research. He holds a PhD in Applied Mathematics and Computational Biology from Brown University and leads genomics data science at the Center for Computation and Visualization. Proficient in R, Python, and Julia, he specializes in quantifying how upstream uncertainties (e.g., assembly) propagate to downstream inferences like gene and species trees. His background includes industry internships at Genentech and hands-on algorithm development for genome assembly at BGI, reflecting a blend of rigorous theory and practical tooling. Comfortable teaching and mentoring across levels, he also has a track record of contributing research software and computational methods that make complex biological models reproducible and auditable. Based in Providence, he brings a quantitative, research-driven approach to real-world genomics problems.
13 years of coding experience
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at Brown University
B.S., Mathematics, B.S., Mathematics at Harvey Mudd College
Contributions:19 PRs, 48 pushes, 16 branches in 3 years 5 months
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