# About me

- I am an Applied Mathematics Instructor in Department of Mathematics at Massachusetts Institute of Technology.
- I received my Ph.D. in Division of Applied Mathematics at Brown University, working with Prof. George Em Karniadakis, in 2020. I received my B.Eng. degree in Department of Thermal Engineering at Tsinghua University in 2013.
- My current research interests are on scientific machine learning and deep learning theory. My broad research interests focus on computational biology and high performance computing.
- Curriculum Vitae

# Recent news

- We proposed the first method of one-shot learning for solution operators of partial differential equations. (Apr. 12, 2021)
- DeepONet was published in Nature Machine Intelligence, and also see the News article. (Mar. 18, 2021)
- I gave a talk on DeepONet at SIAM Conference on Computational Science and Engineering. (Mar. 3, 2021)
- I gave a talk on machine learning & multiscale modeling at Purdue University, Department of Mathematics. (Feb. 22, 2021)
- I gave a talk on machine learning & multiscale modeling at Queen’s University, Department of Mechanical and Material Engineering. (Feb. 10, 2021)
- We developed hPINN for inverse design/topology optimization. (Feb. 9, 2021)
- Our paper on DeepXDE was published in SIAM Review. (Feb. 4, 2021)
- I gave a talk on machine learning & multiscale modeling at University of Pennsylvania, Department of Chemical and Biomolecular Engineering. (Feb. 3, 2021)
- Our systems-biology PINN is highlighted on Nature Computational Science. (Jan. 14, 2021)
- We used DeepONet for predicting multiscale bubble growth dynamics. (Dec. 23, 2020)
- Our paper on PINN for systems biology was published in PLOS Computational Biology. (Nov. 18, 2020)
- Our paper on dying ReLU was published in Communications in Computational Physics. (Nov. 18, 2020)
- We developed DeepM&Mnet for hypersonics. (Nov. 1, 2020)
- We developed DeepM&Mnet to build multiphysics & multiscale models in a plug-and-play mode using pretrained DeepONets that approximate nonlinear operators. (Sept. 28, 2020)
- DeepXDE was used to solve inverse problems in systems biology, see our paper on bioRxiv. (July 27, 2020)
- I received Chinese Government Award for Outstanding Self-Financed Students Abroad. (July 10, 2020)
- Our paper on generalization for neural networks was published in Neural Networks. (July 3, 2020)
- I organized a minisymposium on Machine Learning for Physical Systems at SIAM Conference on Mathematics of Data Science. (June 29, 2020)
- I gave a talk on DeepXDE at SIAM Conference on Mathematics of Data Science. (June 22, 2020)
- I received Joukowsky Family Foundation Outstanding Dissertation Award (the most prestigious Ph.D. award) from Brown University. (May 24, 2020)
- I gave a talk on physics-informed deep learning at Emory University, Scientific Computing Group. (Apr. 24, 2020)