Summary
Qi Tang is a computational mathematician and Assistant Professor at Georgia Tech with seven years of research and national-lab experience applying scientific computing, plasma physics, and machine learning to large-scale simulation challenges. Previously a staff scientist and guest scientist at Los Alamos National Laboratory, Qi has bridged applied mathematics and high-performance computing to support multi-institutional projects like TDS, CHaRMNET, HighZ, and CIGMO. He holds a Ph.D. in Applied Mathematics from Michigan State and brings deep expertise in numerical methods and algorithm design for physics-driven problems. Known for translating theoretical insight into robust computational tools, he often works at the intersection of domain science and ML-driven modeling. Based in Atlanta, he combines academic teaching with continued collaborative national-lab research, reflecting a career that balances rigorous theory, open-source engagement, and practical impact.
7 years of coding experience
6 years of employment as a software developer
Ph.D., Applied Mathematics, Ph.D., Applied Mathematics at Michigan State University
B.S., Math & Applied Math, B.S., Math & Applied Math at Zhejiang University