Skip to content
## Yale University

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

## 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
- 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.