Paris Perdikaris

Paris Perdikaris is an Associate Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania. He received his Ph.D. in Applied Mathematics from Brown University (2015), and worked as a postdoctoral researcher at the Massachusetts Institute of Technology (2015-2017). His research interests span a range of topics at the interface of computational science and machine learning. Current efforts are focused on the development of foundation models for accelerating physical simulations, physics-informed machine learning,  neural operators,and uncertainty quantification. By bridging the gap between data-driven approaches and scientific knowledge, my group’s work is paving the way for more accurate, efficient, and interpretable simulations across fields like Earth system modeling, fluid dynamics, and materials science. Perdikaris’ and his team’s methods at the Predictive Intelligence Lab not only aim to accelerate scientific discovery but also to address real-world challenges in engineering design and the optimization of complex physical systems. His work has received several distinctions including the DOE Early Career Award (2018), the AFOSR Young Investigator Award (2019), the Ford Motor Company Award for Faculty Advising (2020), the SIAG/CSE Early Career Prize (2021), and the Scialog Fellowship (2021).