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Shuiwang Ji
Professor and Truchard Family Chair |
Brief Biography
Dr. Ji is currently a Professor and the Truchard Family Chair in the Department of Computer Science & Engineering, Texas A&M University, directing the DIVE Lab. In research, Dr. Ji strives to seek synergies between foundational and use-inspired themes. His foundational research centers on developing innovative models and algorithms in the fields of machine learning, geometric deep learning, language models and agents. His use-inspired research aims at tackling challenges in various scientific and engineering disciplines, including physics-informed modeling and simulations, biology, drug discovery, quantum physics and chemistry, materials science, molecular dynamics and simulation, fluid dynamics, and partial differential equations, among others.
Dr. Ji is leading the RAISE Initiative, aiming at promoting collaborations among foundational AI research, AI for science, and AI for engineering.
Dr. Ji received the National Science Foundation CAREER Award in 2014. Currently, he serves as an Associate/Action Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), ACM Computing Surveys (CSUR), and Transactions on Machine Learning Research (TMLR). He regularly serves as an Area Chair for International Conference on Learning Representations (ICLR), International Conference on Machine Learning (ICML), and Annual Conference on Neural Information Processing Systems (NeurIPS). Dr. Ji is an advisory board member of the Learning on Graphs Conference (LoG).
Dr. Ji achieved the highest ranking in the middle-school exit exam at the provincial level in China. He entered graduate school without high-school and college education, and eventually received the Ph.D. degree in Computer Science from Arizona State University in 2010, advised by Prof. Jieping Ye.
Dr. Ji is a Fellow of IEEE and AIMBE, and a Distinguished Member of ACM.
DIVE Lab
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AIRS: Artificial Intelligence Research for Science |
Logo by Zhao Xu