People

Peng Chen

Assistant Professor, School of Computational Science and Engineering, Georgia Tech

Peng Chen is an Assistant Professor in the School of Computational Science and Engineering (CSE) at Georgia Tech. He is also a faculty member of Georgia Tech's Machine Learning Center (ML@GT), Institute for Data Engineering and Science (IDEaS), and Brook Byers Institute for Sustainable Systems (BBISS). Before joining Georgia Tech in 2022, he was a Research Scientist at The University of Texas at Austin and a Postdoctoral Researcher and Lecturer at ETH Zurich. He earned his PhD in Mathematics from EPFL.

His research spans computational mathematics and scientific machine learning, with an emphasis on fast and scalable methods for integrating data with physical models under high-dimensional uncertainty. He develops algorithms for Bayesian inference and data assimilation, optimal experimental design, and PDE-constrained stochastic optimization, with applications in materials, energy, health, and natural hazards. He serves on the editorial board of Numerical Methods for Partial Differential Equations.

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