Assistant Professor
Research Areas: Computational plasma physics; high-performance computing; scientific machine learning
Biography
Qi Tang comes to Georgia Tech from Los Alamos National Laboratory where he was a staff scientist in the Applied Mathematics and Plasma Physics Group. Before joining LANL in 2018, he was an Eliza Ricketts Foundation Postdoctoral Fellow at Rensselaer Polytechnic Institute. Tang completed his Ph.D. at Michigan State University in 2015. His research interests include: computational plasma physics, fusion simulations, scalable numerical algorithms, multi-physics and multi-scale problems, and scientific machine learning.