Peng Chen

Peng Chen
pchen402@gatech.edu
Scientific Machine Learning (SciML) and Uncertainty Quantification (UQ)

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard. Specifically, his research focuses on developing fast, scalable, and parallel computational methods for integrating data and models under high-dimensional uncertainty to make (1) statistical model learning via Bayesian inference, (2) reliable system prediction with uncertainty quantification, (3) efficient data acquisition through optimal experimental design, and (4) robust control and design by stochastic optimization.

Assistant Professor
Office
CODA | E1350B
Additional Research

Bayesian InferenceInfectious DiseasesOptimal Experimental DesignPlasma FusionStochastic OptimizationUncertainty Quantification

Google Scholar
https://scholar.google.com/citations?hl=en&user=AaVPa5kAAAAJ&view_op=list_works&sortby=pubdate
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Victor Fung

Victor Fung
victorfung@gatech.edu
Fung Group

Victor Fung is an Assistant Professor in the School of Computational Science and Engineering. Prior to this position, he was a Wigner Fellow and a member of the Nanomaterials Theory Insitute in the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory. A physical chemist by training, Fung now works at the intersection of scientific artificial intelligence, computing, and materials science/chemistry.

Assistant Professor of Computational Science and Engineering
Office
E1354B | CODA Building, 756 W Peachtree St NW, Atlanta, GA 30308
Additional Research

Quantum chemistrySurrogate models for quantum chemistryData-driven inverse designChemically-informed machine learningHigh-throughput computational simulations

Google Scholar
https://scholar.google.com/citations?hl=en&user=2QsddMIAAAAJ&view_op=list_works&sortby=pubdate
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Xiuwei Zhang

 Xiuwei Zhang
xzhang954@gatech.edu
Website

Xiuwei Zhang is an Assistant Professor and J. Z. Liang Early Career Assistant Professor in the School of Computational Science and Engineering at the Georgia Institute of Technology. Her research group works on applying machine learning and optimization skills in method development and data analysis for single-cell RNA-Seq data and other types of data on single cell level. The goal is to study cellular mechanisms during differentiation, development of cells and disease progression. 

Zhang was a postdoc researcher in Prof. Nir Yosef‘s group at UC Berkeley. She obtained a Ph.D. in computer science under the supervision of Prof. Bernard Moret in the Laboratory for Computational Biology and Bioinformatics, EPFL (École Polytechnique Fédérale de Lausanne), Switzerland. 

Before moving to the United States, she was a postdoc researcher in Dr. Sarah Teichmann’s group at the European Bioinformatics Institute (EBI) and Wellcome Trust Sanger Institute in Cambridge, UK. Zhang was supported by a Fellowship for Prospective Researchers and an Advanced Postdoc Mobility Fellowship from Swiss National Science Foundation (SNSF) from Aug. 2012 to Jul. 2015. She was a research fellow in the 2016 Simons Institute program on Algorithmic Challenges in Genomics. Her Erdös number is 3.

Assistant Professor
Additional Research
  • Bioinformatics
  • Machine Learning
Research Focus Areas
Xiuwei
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