Assistant Professor Dianbo Liu
Assistant Professor
Department of Ophthalmology, Yong Loo Lin School of Medicine
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Research Interests and Achievements
Dr Dianbo Liu is leader of Cognitive AI for Science team (CogAI4SCI.com) and assistant professor at National University of Singapore. The Cognitive AI for Science (CogAI4Sci) team focuses on two branches of research: 1) develop AI inspired by cognitive science to enable machine to learn, reason and create and 2) use AI to improve biomedical scientific discovery and medical practice.
Before starting CogAI4Sci team, Dianbo Liu was a group leader at the Broad Institute of MIT and Harvard. Prior to the Broad Institute, Dianbo worked as a postdoctoral researcher with Prof. Yoshua Bengio (a Turing Award winner) and led the Humanitarian AI team at the Mila-Quebec AI Institute. This followed his fellowship training and studies in medical informatics at Harvard University. Dianbo earned his PhD from the University of Dundee, Scotland, under the supervision of Prof. Timothea Newman. During his doctoral studies, he received the Vest Scholarship from the Massachusetts Institute of Technology (MIT) and was a special graduate student at the MIT Computer Science and Artificial Intelligence Lab. Dianbo also co-founded two start-ups, "GeneTank" and "SecureAILabs," to advance AI applications in biomedical sciences during his training.
Selected Publications
- Machine learning approaches to predicting no-shows in pediatric medical appointment Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana. NPJ digital medicine 2022
- Integrative construction of regulatory region networks in 127 human reference epigenomes by matrix factorization Dianbo Liu, Jose Davila-Velderrain, Zhizhuo Zhang, Manolis Kellis al. Nucleic acids research 2019
- ENCODE Phase III: Building an Encyclopedia of Candidate cis-Regulatory Elements for Human and Mouse Jill Moore1, Michael J. Purcaro, Bradley E. Bernstein ... Dianbo Liu ... Barbara Wold, Ross C. Hardison, al. Nature 2020
- GFlowOut: Dropout with Generative Flow Networks Dianbo Liu, Moksh Jain, Bonaventure Dossou, Qianli Shen, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Emezue, Dinghuai Zhang, Nadhir Hassen, Xu Ji, Kenji Kawaguchi, Yoshua Bengio. ICML 2023
- Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu*, Vedant Shah*, Oussama Boussif*, Anirudh Goyal, Michael Curtis Mozer,Nicolas Heessm Yoshua Bengio. ICLR 2023 *Co-first author
- Discrete-valued neural communication Dianbo Liu*, Alex Lamb*, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio. NeurIPS 2021 *Co-first author
Collaborations
View more details on the collaborations here