Scholar
Raphael Pestourie
Google Scholar ID: Lxv3W74AAAAJ
Assistant Professor at School of Computational Science and Engineering, Georgia Tech
Citations & Impact
Citations
2,466
H-index
14
i10-index
14
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Published in journals such as Nature Machine Intelligence, Nature Communications, npj Computational Materials, Advanced Optical Materials, Small Methods, SIAM Journal on Scientific Computing, and IEEE Antennas & Propagation Magazine; serves as a reviewer for leading journals and conferences in AI and scientific computing; supported by the National Science Foundation (NSF) and the National Institutes of Health (NIH); part of the MIT-IBM Watson AI Lab.
Research Experience
- Assistant Professor in Scientific Machine Learning at the School of Computational Science and Engineering, Georgia Tech (2023-present); Postdoctoral Associate, Department of Mathematics, Massachusetts Institute of Technology (2020-2023)
Education
- PhD in Applied Mathematics from Harvard University; MBA from MIT Sloan School of Management
Background
- Research interests include AI-enabled PDE-constrained optimization, scientific machine learning, fast approximate solvers, representation learning, and model discovery. Specializes in the intersection of AI and scientific computing for engineering applications, aiming to make AI and physics co-evolve to accelerate learning and computation.
Miscellany
- Interests include teaching, created two new courses at Georgia Tech: CSE 8803 'Special Topics in Scientific Machine Learning' and CSE 8801 'Linear Algebra, Probability, and Statistics'
