Lu Lu, PhD

The Lu Group aims to model and simulate physical and biological systems at different scales by integrating modeling, simulation, and machine learning, and to provide strategies for system learning, prediction, optimization, and decision-making in real time. The group's current research interests lie in scientific machine learning (SciML) and artificial intelligence for science (AI4Science), encompassing theory, algorithms, software, and their applications to engineering, physical, and biological problems. Their broad research interests focus on multiscale modeling and high-performance computing for physical and biological systems.

computational modeling ;  deep learning ;  high-performance computing ;  neural networks ;  simulation ;  software development ;  statistical methods  

algorithms ;  artificial intelligence ;  computational biology ;  machine learning ;  predictive modeling ;  biomedical image analysis ;  climate change  

Lu Lu is an Assistant Professor in the Department of Statistics and Data Science. Prior to joining Yale, he served as an Assistant Professor in the Department of Chemical and Biomolecular Engineering at the University of Pennsylvania from 2021 to 2023 and as an Applied Mathematics Instructor in the Department of Mathematics at the Massachusetts Institute of Technology from 2020 to 2021. He obtained his Ph.D. degree in Applied Mathematics at Brown University in 2020. He has received the DOE Early Career Award and the Joukowsky Family Foundation Outstanding Dissertation Award from Brown University.