Teaching

Yale University

• S&DS 689 Scientific Machine Learning, Fall 2024, Fall 2023
• S&DS 266/566 Deep Learning for Scientists and Engineers, Spring 2024

NVIDIA Deep Learning Institute Teaching Kit Program

• Deep Learning for Science and Engineering, 11/2023–present
  • Downloaded by >800 educators from >700 universities, >10,000 views of the public video series

University of Pennsylvania

• ENM 6010 Deep Learning for Scientists and Engineers, Spring 2023, Spring 2022
• CBE 4100 Chemical Engineering Laboratory, Fall 2022

Massachusetts Institute of Technology

• 18.085 Computational Science and Engineering I, Spring 2021
• 18.02 Multivariable Calculus, Fall 2020

Tutorials and Research Talks

• Tutorials on deep learning, Python, and dissipative particle dynamics
• Learning neural operators accurately, efficiently, reliably, and in one shot. NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) Summer Workshop, Massachusetts Institute of Technology, Aug. 2024.
• Deep neural operators with reliable extrapolation for multiphysics, multiscale & multifidelity problems. Lawrence Livermore National Laboratory, Data-Driven Physical Simulation Webinar, Sept. 2023.
• Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems. Plenary Talk, Mathematical and Scientific Machine Learning, Aug. 2022.
• Physics-informed deep learning. Synced, Aug. 2021.
• Integrating machine learning & multiscale modeling in biomedicine. Queen’s University, Department of Mechanical and Material Engineering, Feb. 2021.
• DeepXDE: A deep learning library for solving differential equations. AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, Mar. 2020.
• Collapse of deep and narrow neural nets. ICERM Scientific Machine Learning, Providence, RI, Jan. 2019.