Jin Tian Promoted to Full Professor

May 10, 2023

The Board of Regents, State of Iowa, has promoted Jin Tian to the rank of professor in the Department of Computer Science at Iowa State University.

“Dr. Jin Tian has demonstrated excellence in scholarship that has established him as a thought leader in Artificial Intelligence in general, and Causal Inference in particular. He has achieved national and international prominence for his work. He is a very effective teacher at both undergraduate and graduate level.” Hridesh Rajan, Professor and Chair of the Department of Computer Science, said.

Dr. Tian has also done an outstanding job in service to the university and the scientific community. In particular, his contributions to establishing the MS in Artificial Intelligence degree program are likely to bear fruits for a very long time to come. He served as the faculty champion for the Masters in Artificial Intelligence degree. The MS in AI degree proposal was created, and the degree program was approved in June 2022. The first batch of graduate students was admitted in the Fall of 2022, and the MS in AI program enrollment has already exceeded the initial projection. He also served as the chair of the search committee for two faculty hires in Computer Science. Both were significant service responsibilities. Dr. Tian has a distinguished external service record serving on the program committee of top conferences in his area and taking on leadership roles in his community.

Jin Tian is an Associate Professor in the Department of Computer Science at Iowa State University. He received his B.S. in Physics from Tsinghua University, M.S. in Physics from UCLA, and Ph.D. in Computer Science from UCLA. His research is in artificial intelligence and machine learning, focusing on causal inference and probabilistic graphical models. He serves on the Editorial Board of the Journal of Causal Inference and the Journal of Machine Learning Research. He has served as an Associate Editor for the Artificial Intelligence Journal, a Program Chair for the Conference on Uncertainty in Artificial Intelligence (UAI) 2014, and as the General Chair for UAI 2015.

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