Summer Early Career Scholar
2026
Qi Tang
Assistant Professor
School of Computational Science and Engineering
Georgia Institute of Technology
Affiliations:
ML Ph.D. Program Faculty
ML Center at Georgia Tech (ML@GT)
Guest Scientist
Los Alamos National Laboratory
Email: qtang@gatech.edu
Office: Coda at Tech Square, E0562B
I am an Assistant Professor in CSE at Georgia Institute of Technology. Prior to joining Georgia Tech, I was a Scientist in the Theoretical Division at Los Alamos National Laboratory (LANL). I am a computational scientist and applied mathematician by training, with a strong interest in physics, particularly fusion energy and plasma physics. I rely on open-source libraries such as MFEM, PETSc, AMReX, p4est, Overture, and hypre to develop scalable, high-performance numerical solvers. I also work on scientific machine learning (SciML) to enhance traditional solvers.
Open Positions
We are hiring a Postdoctoral Fellow, starting in Spring 2027, to work at the intersection of plasma turbulence modeling, ML for multiphysics and multiscale problems, and fusion physics. The position is part of TEMPEST, a new NSF Science and Technology Center, and the fellow is expected to collaborate broadly across the Center's partner universities, national labs, and industry. Applicants must hold a Ph.D. in physics, applied mathematics, computational science, or a closely related field by the appointment date; expertise in SciML, scientific computing, or data science is a plus. To apply, email me a single PDF with the subject line “Postdoc Inquiry — [Your Name]”, containing a cover letter (1–2 pages) describing your background and the research you would like to pursue, a CV, and contact information for two or three references. Applications are reviewed as they arrive, and the position remains open until filled.
I have several PhD student positions in Fall 2027. I primarily recruit through the College of Computing, including the CSE, ML, and CS programs. PhD students in the CSE and ML programs may have a home unit in a different school, so I also welcome students from math, physics, and engineering. Applicants must first be admitted by their respective home units. For students who are strongly interested in working with me, I encourage selecting the College of Computing as the home unit. If you are interested in joining my group, please email me with your CV.
Research Interests
- High-Performance Computing: high-order schemes (finite difference/volume/element), particle-in-cell, scalable iterative solvers, preconditioning, adaptive mesh refinement, GPU accelerations
- Scientific Computing and Simulation: multiscale and multiphysics problems, fusion modeling, computational plasma physics
- AI/ML and Data Science: structure-preserving ML, dynamical system, neural operator, scale bridging, surrogate and model reduction, denoising, Bayesian inference
Partnership
- I am part of a 5-year NSF Science and Technology Center: Transformative Explorations in Multi-Physics and Engineering of Scientific Turbulence (TEMPEST).
- I am part of a 5-year NNSA PSAAP Focused Investigatory Center: Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ).
- I am part of a 5-year NNSA PSAAP Focused Investigatory Center: Center for Information Geometric Mechanics and Optimization (CIGMO).
- I am a thrust lead for a 5-year DOE ASCR MMICC: Center for Hierarchical and Robust Modeling of Non-Equilibrium Transport (CHaRMNET). I lead two thrusts: multiscale modeling and runaway electron application.
- 2021–2025, I was the lead PI for a $3.5M DOE ASCR SciML project involving LANL, ANL, IIT, JHU, and PSU.
- 2018–2023, I was part of the DOE FES Tokamak Disruption Simulation SciDAC center (TDS).
Awards
DOE Early Career Award
2025