Dr Dianbo Liu leads the Cognitive AI for Science (CogAI4Sci) team at National University of Singapore focuses on developing novel AI methods using inspiration from cognitive sciences and using the methods to solve real-world problems in biomedical sciences and healthcare. Recently we are focusing on 1)discrete compositional representation，on the foundamental machihe learning side, and 2) predicts treatment and intervention effects in biomedical systems,on the machine learning for science side.
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 Medical School. 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 Publication list
Liu, D., Jain, M., Dossou, B. F., Shen, Q., Lahlou, S., Goyal, A., … & Bengio, Y. (2023, July). Gflowout: Dropout with generative flow networks. In International Conference on Machine Learning (pp. 21715-21729). PMLR.
Dianbo Liu,Vedant Shah,Oussama Boussif, Anirudh Goyal, Michael Curtis Mozer, Nicolas Heess.Yoshua Bengio, Statefulactive facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningICLR 2023
Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana ”Ma-chine learning approaches to predicting no-shows in pediatric medical appointment.” NPJ digital medicine 5.1 (2022):1-11.
Dianbo Liu, Karen L. Olson et al ‘Patients Dispensed Medications with Actionable Pharmacogenomic Biomarkers: Ratesand Characteristics’ Genetics in medicine 2021
Dianbo Liu,Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio, Discrete-Valued Neural Communication Neurips 2021
Jill Moore1, Michael J. Purcaro , Bradley E. Bernstein. . . Dianbo Liu. . . .. Barbara Wold, Ross C. Hardison , ZhipingWeng ‘ENCODE Phase III: Building an Encyclopedia of Candidate cis-Regulatory Elements for Human and Mouse’Nature 2020
Dianbo Liu,Vedant Shah,Oussama Boussif, Anirudh Goyal, Michael Curtis Mozer, Nicolas Heess.Yoshua Bengio, Statefulactive facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement LearningICLR 2023
Dianbo Liu, Won-Yong Shin, Eli Sprecher, Kathleen Conroy, Omar Santiago, Gal Wachtel, Mauricio Santillana ”Ma-chine learning approaches to predicting no-shows in pediatric medical appointment.” NPJ digital medicine 5.1 (2022):1-11.
Dianbo Liu, Karen L. Olson et al ‘Patients Dispensed Medications with Actionable Pharmacogenomic Biomarkers: Ratesand Characteristics’ Genetics in medicine 2021
Dianbo Liu,Alex Lamb, Kenji Kawaguchi, Anirudh Goyal, Chen Sun, Michael Curtis Mozer, Yoshua Bengio, Discrete-Valued Neural Communication Neurips 2021
Jill Moore1, Michael J. Purcaro , Bradley E. Bernstein. . . Dianbo Liu. . . .. Barbara Wold, Ross C. Hardison , ZhipingWeng ‘ENCODE Phase III: Building an Encyclopedia of Candidate cis-Regulatory Elements for Human and Mouse’Nature 2020