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Showing page 1 of 1 — 11 professors available publicly

Paris Perdikaris

Physics-Informed Machine Learning (PIML) Physics-Informed Neural Networks (PINNs) Neural Operators

Paris Perdikaris is an Associate Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania, where he also directs the Predictive Intelligence Lab. His research is at the global forefront of AI for Science, specifically in the development of Physi...

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Edmond Chow

Numerical Linear Algebra Partial Differential Equation (PDE) Models Quantum Chemistry Simulations

Edmond Chow is a Professor in the School of Computational Science in the College of Computing. He previously held positions at D. E. Shaw Research and Lawrence Livermore National Laboratory. His research interests are in numerical methods, particularly numerical linear algebra, f...

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Stephan Mandt

Deep Generative Models Variational Autoencoders (VAEs) Diffusion Models

Stephan Mandt is an Associate Professor of Computer Science and Statistics at the University of California, Irvine. Previously, he led the machine learning group at Disney Research in Pittsburgh and Los Angeles and held postdoctoral positions at Princeton and Columbia University....

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Georg Stadler

Inverse Problems PDE-Constrained Optimization Uncertainty Quantification

Georg Stadler is a Professor of Mathematics and Computer Science at New York University’s Courant Institute of Mathematical Sciences, having joined the faculty in 2014. His research is at the leading edge of applied mathematics and scientific computing, with a specialized focus...

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Yan Yan

Uncertainty Quantification Risk-Aware Robust Learning Stochastic Optimization

I am an Assistant Professor at the School of Electrical Engineering and Computer Science, Washington State University, where I lead the ROMA Lab. My research interests include uncertainty quantification, risk-aware robust learning and stochastic optimization for machine learning ...

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Peng Chen

Computational Mathematics Finite Element Analysis Computational Engineering and Sciences

Peng Chen is a tenure-track assistant professor in the School of Computational Science and Engineering at Georgia Tech. Previously, he was a Research Scientist working with Prof. Omar Ghattas at the Oden Institute for Computational Engineering and Sciences at University of Texas ...

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Gabriel Terejanu

Causal AI Invariant Machine Learning Bayesian Inference

Gabriel Terejanu is a Professor of Computer Science at the University of North Carolina at Charlotte. He has previously held academic positions at the University of South Carolina and was a fellow at the University of Texas at Austin. His industry experience includes roles as a s...

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Dr. Alexander Rodríguez

Scientific Machine Learning Trustworthy AI for Spatiotemporal Dynamics Epidemic Forecasting

Alexander Rodríguez is an Assistant Professor of Computer Science and Engineering at the University of Michigan. He earned his Ph.D. in Computer Science from the Georgia Institute of Technology and leads research at the intersection of machine learning, time series analysis, sci...

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Elizabeth Qian

efficient surrogate modeling model reduction scientific machine learning

Elizabeth Qian holds a joint appointment at Georgia Tech as Assistant Professor in the Schools of Aerospace Engineering and Computational Science and Engineering. Her interdisciplinary research develops new computational methods to enable engineering design and decision-making fo...

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William Turkett

Probabilistic Reasoning Bayesian Networks Uncertainty Quantification

Dr. William Turkett is an Associate Professor in the Department of Computer Science at Wake Forest University. He received his Ph.D. in 2004 from the Department of Computer Science and Engineering at the University of South Carolina, where his research was in the area of probabil...

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Rebecca Morrison

dynamical systems probabilistic graphical models uncertainty quantification

Assistant Professor, Dept. of Computer Science, University of Colorado Boulder, 2018 – present Affiliate Faculty Member, Robotics Program Postdoc, Dept. of Aeronautics and Astronautics, Massachusetts Institute of Technology, 2016 – 2018 Intern, Sandia National Laboratories...

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