Bo Liu is an Associate Professor of the Electrical and Computer Engineering Department at the University of Arizona (starting fall 2024). His research areas cover decision-making under uncertainty, human-aided machine learning, symbolic AI, trustworthiness, interpretability in machine learning, and their applications to BIGDATA. He obtained his Ph.D. from the Autonomous Learning Lab at the University of Massachusetts Amherst in 2015, co-led by Drs. Sridhar Mahadevan and Andrew Barto (Turing 2025 laureate). His Ph.D. thesis helped lay the stochastic optimization foundation of temporal difference learning. 

He is a recipient of the Tencent Faculty Research Award’2017 and the Amazon Faculty Research Award’2018. His papers won two best paper awards (UAI’2015 Facebook Best Student Paper Award and AAMAS’2022 OptLearnMAS Best Paper Award). He was a short-term visiting researcher at the University of Alberta in summer 2018, hosted by Prof. Rich Sutton (Turing 2025 laureate). He is a senior member of AAAI and IEEE, an editorial board member of Machine Learning (MLJ), an Associate Editor of IEEE Fuzzy Systems, and a regular Area Chair/Senior PC of several flagship AI conferences. He has given several tutorials and plenary talks at various conferences, including AAMAS, ICAPS, and UAI.