Assistant Professor, William & Mary
jdw [at] wm.edu, jindongwang [at] outlook.com
Integrated Science Center 3383, Williamsburg, VA, USA
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PhD and interns: PhD recruitment for 2027 Spring, Internship or collaboration. [Chinese blog]

I am open to industry and university visit, consultant, and more collaboration!

Dr. Jindong Wang is an Assistant Professor at William & Mary Department of Data Science and also an affiliated faculty member of Future of Life Institute. Previously, he was a Senior Researcher in Microsoft Research Asia from 2019 to 2024. His research interest spans machine learning, large foundation models, and generative AI. He is among World’s Top 2% Highly Cited Scientists and Most Influential AI Scholars. He is associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS), guest editor for ACM Transactions on Intelligent Systems and Technology (TIST), area chair for ICML, NeurIPS, ICLR, KDD, ACL, ACMMM, and ACML, and SPC of IJCAI and AAAI. He published over 60 papers at top-tier venues (27000+ citations, H-index 58). His research is supported by William & Mary Faculty Research Award and industrial awards from Amazon, Google, NVIDIA, Microsoft, and AMD. His work was integrated into Microsoft health products that reduced token consumptions by 15%, and quant finance with increased stock price prediction accuracy, and also reported by Forbes, MIT Technology Review, and other international media. He received best paper awards at several conferences and workshops. He published a book Introduction to Transfer Learning and gave tutorials at IJCAI’22, WSDM’23, KDD’23, AAAI’24, AAAI’25, CVPR’25, and CVPR’26.