William Wang

Position Title
Director, Natural Language Processing group 
Director, Center for Responsible Machine Learning.
Duncan and Suzanne Mellichamp Professor of Artificial Intelligence and Designs, Computer Science
Portrait of William Wang. Young Asian man wearing dark rimmed glasses and wearing a light blue, long sleeved, collared shirt. His arms are crossed.

William Wang, Ph.D. is the Director of UC Santa Barbara's Natural Language Processing group and Center for Responsible Machine Learning. He is the Duncan and Suzanne Mellichamp Professor of Artificial Intelligence and Designs in the Department of Computer Science at the University of California, Santa Barbara. He received his Ph.D. from School of Computer Science, Carnegie Mellon University.

He has broad interests in Artificial Intelligence, including statistical relational learning, information extraction, computational social science, dialog and generation and vision. He has published more than 100 papers at leading NLP/AI/ML conferences and journals, and received best paper awards (or nominations) at ASRU 2013, CIKM 2013, EMNLP 2015, and CVPR 2019, a DARPA Young Faculty Award (Class of 2018), an IEEE AI's 10 to Watch Award (Class of 2020), an NSF CAREER Award (2021), a British Computer Society - Karen Spärck Jones Award 2022), the 2023 CRA-E Undergraduate Research Faculty Mentoring Award, and two Google Faculty Research Awards (2018, 2019), three IBM Faculty Awards (2017-2019), two Facebook Research Awards (2018, 2019), an Amazon AWS Machine Learning Research Award, a JP Morgan Chase Faculty Research Award, an Adobe Research Award in 2018, and the Richard King Mellon Presidential Fellowship in 2011.

He frequently serves as an Area Chair or Senior Area Chair for NAACL, ACL, EMNLP, and AAAI. He is an elected member of IEEE Speech and Language Processing Technical Committee (2021-2023) and a member of ACM Future of Computing Academy. In addition to research, William enjoys writing scientific articles that impact the broader online community. His work and opinions appear at major tech media outlets such as Wired, VICE, Scientific American, Fortune, Fast Company, NASDAQ, The Next Web, Law.com and Mental Floss.


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