Photo by TEES Communications 

Shuiwang Ji

Professor and Truchard Family Endowed Chair
Presidential Impact Fellow | Chancellor EDGES Fellow
Director, The RAISE Initiative

Department of Computer Science & Engineering (Primary)
Department of Materials Science & Engineering (Courtesy)
Department of Mechanical Engineering (Courtesy)
Texas A&M University
305 Peterson Bldg., 435 Nagle St.
College Station, TX 77843-3112
Phone: (979) 458-1547; Fax: (979) 845-1420
E-mail: mbox{{bf sji@tamu.edu}}
Google Scholar | X | LinkedIn | GitHub | Hugging Face

Brief Biography

Dr. Ji (see surname origin) is a Professor and holder of 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 in artificial intelligence with use-inspired research. On the foundational front, his work focuses on creating novel models and algorithms in physics-informed machine learning, geometric deep learning, large language models, and autonomous agents for scientific discovery. On the use-inspired front, his research tackles pressing challenges across a wide spectrum of scientific and engineering disciplines, including quantum physics and chemistry, first-principles electronic structure calculations and density functional theory, molecular dynamics, statistical mechanics, materials science and engineering, biology, fluid dynamics, and aerodynamics, among others. Collectively, Dr. Ji's research advances the emerging field of artificial intelligence for science and engineering.

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 attained the highest provincial ranking in China's middle-school exit examination. He entered graduate school directly, bypassing both high school and undergraduate education, and later earned his Ph.D. in Computer Science from Arizona State University in 2010 under the supervision of Prof. Jieping Ye.

Dr. Ji is a Fellow of IEEE and AIMBE, and a Distinguished Member of ACM.

DIVE Lab

Link 

AIRS: Artificial Intelligence Research for Science
DIG: Dive into Graphs

Logo by Zhao Xu