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

Recent news

• DeepXDE was used to solve inverse problems in nano-optics and metamaterials, see our paper on arXiv. (Dec 2, 2019)
• I gave a talk on Scientific Machine Learning at University of Pittsburgh, Department of Mechanical Engineering and Materials Science. (Nov 21, 2019)
• I gave a talk on Scientific Machine Learning at University of North Carolina at Charlotte, Department of Mathematics and Statistics. (Nov 18, 2019)
• News on Brown Daily Herald. (Oct 30, 2019)
• Paper about DeepONets to learn operators was uploaded to arXiv. (Oct 8, 2019)
• News on Brown News and eHealthNews.eu. (Aug 22, 2019)
• Our model to gauge efficacy of new treatments for sickle cell disease was published on Science Advances. (Aug 21, 2019)
• Paper of DeepXDE was uploaded to arXiv. (Jul 10, 2019)
• The first stable version of DeepXDE (a deep learning library for solving differential equations) was released. (Jun 12, 2019)
• Paper about the generalization error in deep learning was uploaded to arXiv. (May 27, 2019)
• Paper about the dying ReLU problem was uploaded to arXiv. (Mar 15, 2019)
• I gave a talk on collapse of deep and narrow neural nets in ICERM Scientific Machine Learning (Jan 28 – 30, 2019).