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Shuiwang Ji
Professor and Truchard Family Endowed Chair |
Brief Biography
Dr. Ji (see surname origin) is a Professor and the Truchard Family Endowed Chair in the Department of Computer Science & Engineering at Texas A&M University, where he directs the DIVE Lab. His research seeks to bridge foundational advances with use-inspired applications. On the foundational side, Dr. Ji develops novel models and algorithms in machine learning, geometric deep learning, language models, and autonomous agents. His use-inspired efforts address pressing challenges across science and engineering domains, including quantum physics and chemistry, molecular dynamics and simulation, materials science and engineering, physics-informed modeling and simulations, fluid dynamics, and biology.
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