Our Advisor
Bryan Kian Hsiang Low (劉謙雄)
Associate Professor of Computer Science (with tenure), National University of Singapore (NUS)
Director of AI Research, AI Singapore
Deputy Director of AI Research, NUS AI Institute
Faculty Member, Integrative Sciences & Engineering Programme, NUS Graduate School
Faculty Affiliate, Institute of Data Science
| B.Sc. in Computer Science, National University of Singapore | |
| M.Sc. in Computer Science, National University of Singapore | |
| Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University |
Current Members
Nguyen, Pham Kieu Thao
Ph.D. (Co-advised by See-Kiong Ng)
| B.Sc. in Mathematics and Computer Science (Hons.), Vietnam National University - Ho Chi Minh City University of Science | |
| M.Sc. in Computer Science and Engineering, Ulsan National Institute of Science and Technology |
Research Interests: data-centric AI, incentives, collaborative ML, federated learning
Zhou, Zijian
Ph.D. (Co-advised by Daniela Rus, MIT)
| Recipient of NUS School of Computing Outstanding Computing Prize, Google SEA Travel Grant, & AAAI 2023 Student Scholarship Program | |
| B.Sc. in Computer Science (Hons. 1st Class) with Second Major in Mathematics, National University of Singapore |
Research Interests: data-centric AI, large language models, incentives, collaborative ML, federated learning
Lau, Gregory Kang Ruey
Ph.D.
| Recipient of AI Singapore - CNRS@Create DesCartes Joint PhD Scholarship, NUS Teaching Fellowship Scheme, NeurIPS 2023 Scholar Award, & PSC Overseas Merit Scholarship (Open) | |
| B.Sc. in Physics and Economics, Massachusetts Institute of Technology | |
| Master of Finance, MIT Sloan School of Management |
Research Interests: active learning, experimental design, physics-informed neural networks, AI for Science, data-centric AI, large language models
Apivich Hemachandra
Ph.D. (Co-advised by See-Kiong Ng)
| Recipient of NUS Research Achievement Award and Teaching Fellowship Scheme x 2 | |
| B.Sc. in Physics with Minors in Computer Science and Mathematics, Mahidol University International College |
Research Interests: active learning, experimental design, physics-informed neural networks, AI for Science
Niu, Xinyuan
Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)
| Recipient of A*STAR Graduate Scholarship (AGS) | |
| B.Eng. in Mechanical Engineering (Hons. 1st Class) with Second Major in Innovation & Design and Minor in Computer Science, National University of Singapore | |
| M.Eng. in Mechanical Engineering, National University of Singapore |
Research Interests: data-centric AI, large language models
Chen, Zhiliang
Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)
| Recipient of A*STAR Computing and Information Science Scholarship (ACIS) | |
| B.Sc. in Computer Science (Hons. 1st Class) and B.Sc. in Applied Mathematics (Hons. 1st Class), National University of Singapore |
Research Interests: automated ML, large language models
Qiao, Rui
Ph.D.
| Recipient of NUS Research Achievement Award, AI Singapore Ph.D. Fellowship, and Keppel Award of Excellence for the Top 2 students in B.Eng. in Information Systems Technology and Design (ISTD) pillar in Singapore University of Technology and Design | |
| B.Eng. in Information Systems Technology and Design, Singapore University of Technology and Design |
Research Interests: causal inference, data-centric AI, large language models
Zhang, Zeyu
Ph.D. (Co-advised by Bolin Ding, Alibaba Group)
| Recipient of Economic Development Board Industrial Postgraduate Programme (EDB IPP) | |
| B.Eng. in Electrical and Electronic Engineering (Hons. 1st Class) with Minor in Physics and Mathematics, Nanyang Technological University |
Research Interests: machine unlearning, federated learning
Tay, Sebastian Shenghong
Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)
| Recipient of NUS Research Achievement Award x 2, A*STAR Computing and Information Science Scholarship (ACIS) | |
| B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore |
Research Interests: incentives, collaborative ML, federated learning, data valuation, Bayesian optimization
Xu, Xinyi (徐信羿)
Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)
| Recipient of NUS Research Achievement Award x 2, A*STAR Computing and Information Science Scholarship (ACIS), Honor List of Student Tutors for Excellence in Teaching, Teaching Fellowship Scheme | |
| B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore |
Research Interests: incentives, collaborative ML, federated learning, reinforcement learning, data-centric AI
Sim, Rachael Hwee Ling
Ph.D. (Co-advised by Patrick Jaillet, MIT)
| Recipient of NUS Research Achievement Award x 2, Teaching Fellowship Scheme (selected), SMART Graduate Fellowship, Lee Kuan Yew Gold Medal for best performing graduate in B.Comp. (Computer Science) programme, Tata Consultancy Services Asia Pacific Prize for Best Year 3 B.Comp. (Computer Science) student | |
| B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore |
Research Interests: incentives, collaborative ML, federated learning, data-centric AI, Bayesian optimization
Wu, Zhaoxuan
Postdoctoral Associate, SMART M3S (Co-advised by Daniela Rus, MIT), Jul 2024
| Recipient of Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship, NUS Graduate School for Integrative Sciences and Engineering Scholarship (NGSS), Lijen Industrial Development Medal for the best student in the Honours Year term project in B.Sc. (Honours) - Data Science and Analytics programme | |
| B.Sc. in Data Science and Analytics (Hons. 1st Class), National University of Singapore | |
| Ph.D. in Data Science, National University of Singapore, Jun 2024 |
Ph.D. Thesis: Data-Centric AI: Through the Lens of Data Valuation and Beyond
Research Interests: incentives, collaborative ML, federated learning, data-centric AI, large language models
Arun Verma
Postdoctoral Fellow
| Recipient of Naik and Rastogi Excellence in Ph.D. Thesis Award in IIT Bombay, COMSNETS 2022 Best Ph.D. Thesis Award, & Academic Excellence Award (Gold Medal) for highest CGPA in B.Tech. in CS & Eng., Shobhit University | |
| B.Tech. in Computer Science and Engineering, Shobhit University, 2014 | |
| Ph.D. in Industrial Engineering and Operations Research, Indian Institute of Technology Bombay, Dec 2020 |
Ph.D. Thesis: Sequential Decision Problems with Weak Feedback
Research Interests: reinforcement learning, bandits, Bayesian optimization
Trần, Gia Lạc
Postdoctoral Fellow
| B.Sc. in Computer Science (Hons.), Vietnam National University - Ho Chi Minh City University of Science, Sep 2014 | |
| M.Eng. in Data Science, Télécom Paris, Sep 2017 | |
| Ph.D. in Computer Science, Sorbonne Université, Dec 2020 |
Ph.D. Thesis: Advances of Deep Gaussian Processes: Calibration and Sparsification
Research Interests: Gaussian process
Alumni
Mohit Rajpal
| Recipient of NUS President's Graduate Fellowship | |
| B.Sc. in Computer Science, University of Illinois Urbana-Champaign | |
| M.Sc. in Computer Science, Columbia University | |
| Ph.D. in Computer Science, National University of Singapore, Jun 2024 |
Ph.D. Thesis: Scaling up Decision Making under Uncertainty
Research Interests: deep learning, Bayesian optimization
Dai, Zhongxiang (代忠祥)
Assistant Professor, School of Data Science, Chinese University of Hong Kong, Shenzhen, Aug 2024
| Recipient of NUS Dean's Graduate Research Excellence Award, NUS Research Achievement Award x 2, SMART Graduate Fellowship, & ST Electronics Prizes for being the top Year 1 and Year 2 student in Electrical Engineering | |
| B.Eng. in Electrical Engineering (Hons. 1st Class), National University of Singapore | |
| Ph.D. in Computer Science, National University of Singapore (Co-advised by Patrick Jaillet, MIT), Jul 2021 | |
| Postdoctoral Fellow > National University of Singapore, Jun 2022 - May 2023 | |
| Postdoctoral Fellow, Massachusetts Institute of Technology, Jan 2024 - Jul 2024 (Advised by Patrick Jaillet, MIT) |
Ph.D. Thesis: Sample-Efficient Automated Machine Learning with Bayesian Optimization
Research Interests: Bayesian optimization, bandits, AI for Science
Shu, Yao (舒瑶)
Senior Researcher, Tencent AI Lab, Jun 2023
| Recipient of IMDA Excellence in Computing Prize (Best Ph.D. Thesis in NUS School of Computing) 2023 & NUS Dean's Graduate Research Excellence Award, Valedictorian for the class of NUS School of Computing Ph.D. graduates 2023 | |
| B.Sc. in Computer Science, Huazhong University of Science and Technology | |
| Ph.D. in Computer Science, National University of Singapore, May 2022 | |
| Postdoctoral Fellow, National University of Singapore, Jun 2022 - May 2023 |
Ph.D. Thesis: Understanding and Improving Neural Architecture Search
Research Interests: automated ML, neural architecture search, Bayesian optimization
Nguyễn, Quốc Phong
Postdoctoral Associate, Massachusetts Institute of Technology, Apr 2023 (Advised by Patrick Jaillet, MIT)
| Recipient of NUS Research Achievement Award, SMART SMA3 Graduate Fellowship, Lee Kuan Yew Gold Medal for best performing graduate in B.Eng. (Computing Engineering) programme, & IES Gold Medal for top graduating student in B.Eng. in Computer Engineering | |
| B.Eng. in Computer Engineering, National University of Singapore, 2013 | |
| Ph.D. in Computer Science, National University of Singapore (Co-advised by Patrick Jaillet, MIT), Dec 2018 | |
| Postdoctoral Fellow & Senior Postdoctoral Fellow, National University of Singapore, Jan 2019 - Mar 2023 |
Ph.D. Thesis: An Alternative Information-Theoretic Criterion for Active Learning
Research Interests: probabilistic ML, Bayesian optimization, inverse reinforcement learning, incentives, collaborative ML
Lam, Chi Thanh
Quantitative Researcher, Citadel Securities, Jun 2023
| Recipient of NUS Research Achievement Award x 2, Honor List of Student Tutors for Excellence in Teaching, & SMART Graduate Fellowship | |
| B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore | |
| Ph.D. in Computer Science, National University of Singapore (Co-advised by Patrick Jaillet, MIT), May 2023 |
Ph.D. Thesis: Algorithms for Collaborative Machine Learning: Data Sharing and Model Sharing Perspectives
Research Interests: meta-learning, collaborative ML, reinforcement learning
Sreejith Balakrishnan
Senior Responsible AI Scientist, Aicadium, Apr 2023
| Recipient of NUS Research Achievement Award and Honor List of Student Tutors for Excellence in Teaching | |
| B.Eng. in Electrical and Electronics Engineering (Hons. 1st Class) with Minor in Computing, Nanyang Technological University | |
| M.Eng. in Electrical Engineering with Specialization in Computer Engineering, National University of Singapore | |
| Ph.D. in Computer Science, National University of Singapore (Co-advised by Harold Soh), Mar 2023 |
Ph.D. Thesis: Towards Human-Centric AI: Inverse Reinforcement Learning Meets Algorithmic Fairness
Research Interests: robotics, inverse reinforcement learning
Chen, Yizhou
Machine Learning Engineer, Shopee, May 2022
| B.Sc. in Physics (Hons. 1st Class) with Minor in Mathematics, Nanyang Technological University | |
| Ph.D. in Computer Science, National University of Singapore, May 2022 |
Ph.D. Thesis: Exploiting Gradient Information for Modern Machine Learning Problems
Research Interests: meta-learning, adversarial machine learning, deep Gaussian process
Teng, Tong (滕茼)
Research Engineer, Huawei Technologies, Dec 2021
| Recipient of NUS Research Achievement Award | |
| B.Eng. in Computer Science, Shandong University | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2021 |
Ph.D. Thesis: Automated Kernel Selection for Gaussian Processes on Large Datasets
Research Interests: probabilistic ML
Dmitrii Kharkovskii (Дмитрий Алексеевич Харьковский)
Data Science Lead, OCBC Group Data Office, Aug 2020
| Recipient of NUS Research Achievement Award | |
| Specialist degree in Math, St. Petersburg State University | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2020 |
Ph.D. Thesis: Automated Machine Learning: New Advances on Bayesian Optimization
Research Interests: privacy-preserving machine learning, Bayesian optimization
Yu, Haibin (于海斌)
Senior Research Engineer, Tencent, Shenzhen, Jan 2021
| Recipient of NUS Research Achievement Award and SMART Graduate Fellowship | |
| B.Eng. in Mechanical Engineering and Automation, Beihang University | |
| Ph.D. in Computer Science, National University of Singapore, May 2020 (Co-advised by Patrick Jaillet, MIT) |
Ph.D. Thesis: New Advances in Bayesian Inference for Gaussian Process and Deep Gaussian Process Models
Research Interests: Bayesian deep learning
Zhang, Yehong (张叶红)
Research Scientist, Peng Cheng Laboratory, Shenzhen, Aug 2020
| Recipient of AAAI 2016 Scholarship & NUS Research Achievement Award | |
| B.Eng. in Computer Science, Harbin Institute of Technology | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2017 (Co-advised by Mohan Kankanhalli) |
Ph.D. Thesis: Data-Efficient Machine Learning with Multiple Output Types and High Input Dimensions
Research Interests: probabilistic ML, active learning, Bayesian optimization
Chen, Jie (陈杰)
Assistant Professor, College of Computer Science and Software Engineering, Shenzhen University, Apr 2018
| Recipient of NUS Dean's Graduate Research Excellence Award, NUS Research Achievement Award, & UAI 2012 Scholarship | |
| B.Eng. in Electrical Engineering, Taizhou University | |
| M.Eng. in Computer Science, Zhejiang University | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2013 | |
| Postdoctoral Associate, SMART FM, Jan 2014 - Mar 2018 (Co-advised by Patrick Jaillet, MIT) |
Ph.D. Thesis: Gaussian Process-Based Decentralized Data Fusion & Active Sensing Agents: Towards Large-Scale Modeling & Prediction of Spatiotemporal Traffic Phenomena
Research Interests: robotics, multi-agent planning, probabilistic ML
Hoàng, Trọng Nghĩa
Assistant Professor, Washington State University, Jan 2023
| Recipient of NUS Dean's Graduate Research Excellence Award, President's Graduate Fellowship, NUS Research Achievement Awards x 2, IJCAI 2013 Travel Grant Award, & AAMAS 2012 Scholarship | |
| B.Sc. in Computer Science (Hons.), Vietnam National University Ho Chi Minh City - University of Science | |
| Ph.D. in Computer Science, National University of Singapore, Feb 2015 | |
| Postdoctoral Fellow, Massachusetts Institute of Technology, Apr 2017 (Advised by Jonathan How) | |
| Research Staff Member, MIT-IBM Watson AI Lab, Aug 2018 | |
| Senior Research Scientist, Amazon AWS AI Labs, Nov 2020 |
Ph.D. Thesis: New Advances on Bayesian and Decision-Theoretic Approaches for Interactive Machine Learning
Research Interests: probabilistic ML, multi-agent planning
Ouyang, Ruofei (欧阳若飞)
Senior Data Scientist, Shopee
| Recipient of AAMAS 2014 Scholarship | |
| B.Sc. in Computer Science, East China Normal University | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2016 |
Ph.D. Thesis: Exploiting Decentralized Multiagent Coordination for Large-Scale Machine Learning Problems
Research Interests: Gaussian process, active sensing/learning, data fusion, Bayesian optimization
Xu, Nuo (许诺)
Backend Engineer, Grab
| Recipient of AAAI 2014 Scholarship & NUS Research Achievement Award | |
| Bachelor of Software Engineering, Harbin Institute of Technology | |
| Ph.D. in Computer Science, National University of Singapore, Jan 2017 |
Ph.D. Thesis: Online Gaussian Process Filtering for Persistent Robot Localization With Arbitrary Sensor Modalities
Research Interests: probabilistic ML, robotics
Prabhu Natarajan
Lecturer, Department of Computer Science, National University of Singapore, May 2021
| Recipient of ICDSC 2012 Best PhD Forum Paper Award, NUS Research Achievement Award, & AAMAS 2012 Scholarship | |
| B.Tech. in Information Technology, Anna University | |
| M.Eng. in Computer Science & Engineering, Anna University | |
| Ph.D. in Computer Science, National University of Singapore, Dec 2013 (Co-advised by Mohan Kankanhalli) | |
| Assistant Professor, DigiPen Institute of Technology Singapore, Jun 2016 - Apr 2021 |
Ph.D. Thesis: A Decision-Theoretic Approach for Controlling & Coordinating Multiple Active Cameras in Surveillance
Research Interests: multi-camera surveillance, decision-theoretic planning & control for sensor networks
Lim, Kar Wai
Research Staff Member, IBM Research, Singapore
| Recipient of ACML 2016 Best Student Paper Award & AMP Prize for Honours Thesis in Actuarial Studies (Best Thesis Award) | |
| Bachelor of Actuarial Studies (Hons. 1st Class), Australian National University | |
| Ph.D. in Computer Science, Australian National University, Dec 2016 | |
| Research Fellow, NUS-Singtel Cyber Security Research and Development Laboratory, Mar 2017 - May 2019 (Co-advised by Mun Choon Chan) |
Ph.D. Thesis: Nonparametric Bayesian Topic Modelling with Auxiliary Data
Research Interests: probabilistic ML
Tan, Wesley
Ph.D. in Computer Science, Nanyang Technological University, Aug 2017
| Recipient of President's Graduate Fellowship in Nanyang Technological University | |
| B.Sc. (Honors) in Economics, Purdue University | |
| M.Sc. in Risk Management & Financial Engineering, Imperial College London, Oct 2015 | |
| M.Comp. in Computer Science, National University of Singapore, Jun 2017 |
Research Interests: reinforcement learning
Son, Jaemin (손재민)
| Bachelor of Comp Sci & Eng, Osaka University | |
| M.Sc. in Computer Science, National University of Singapore, Nov 2016 (Co-advised by Gary Tan) |
Research Interests: Bayesian optimization
Cao, Nannan (曹楠楠)
Former Research Assistant
| Bachelor of Software Engineering, East China Normal University | |
| M.Sc. in Computer Science, National University of Singapore, Sep 2012 |
Research Interests: probabilistic ML, Gaussian process, environmental sensing
Etkin Barış Özgül
| B.Sc. in Computer Science, Bilkent University | |
| M.Sc. in Computer Science, National University of Singapore, Jan 2017 |
Research Interests: AI, multi-agent systems
Hoang, Quang Minh
Ph.D. in Computer Science, CMU, Aug 2018
| Recipient of Lee Kuan Yew Gold Medal for best performing graduate in B.Comp. (Computational Biology) programme, Outstanding Undergraduate Researcher Prize in National University of Singapore, & ICML 2015 Scholarship | |
| B.Comp. in Computational Biology (Hons. 1st Class), National University of Singapore, 2016 |
Research Interests: probabilistic ML
Ling, Chun Kai
Ph.D. in Computer Science, CMU, Aug 2017
| Recipient of Lee Kuan Yew Gold Medal for best performing graduate in B.Eng. (Computing Engineering) programme, IES Gold Medal for top graduating student in B.Eng. in Computing Engineering, Defence Science Technology Agency Gold Medal for best local final year student for the degree of B.Eng. (Computer Engineering), Micron Prize for being one of the top two local Year 2 Computer Engineering students, & Alcatel-Lucent Telecommunications Prize for best performance in a module in the area of Communications and Networks in BEng (EE) or BEng (CEG) examinations | |
| B.Eng. in Computer Engineering, National University of Singapore, 2015 |
Research Interests: planning under uncertainty, probabilistic ML
Erik Alexander Daxberger
Ph.D., Department of Engineering, Univ. Cambridge, Jan 2019
| Recipient of Cambridge-Tübingen Ph.D. fellowship in machine learning, LMU research award for excellent students for the Bachelor's thesis, and LMUexchange and PROSA scholarships for a student exchange program at NUS & ICML 2017 Travel Award | |
| B.Sc. in Computer Science, Ludwig-Maximilians-Universität, Munich, 2017 |
Research Interests: Bayesian optimization, probabilistic ML
Khor, Shi-Jie
Software Engineer, Google Singapore
| Recipient of Lee Kuan Yew Gold Medal for best performing graduate in B.Comp. (Computer Science) programme, IEEE Singapore Computer Society Book Prize for the best student in the Honours Year term project, and Tata Consultancy Services Asia Pacific Prize | |
| B.Comp. in Computer Science (Honours Highest Distinction), National University of Singapore, 2016 |
Research Interests: machine learning
Lim, Keng Kiat
Software Engineer, Facebook HQ
| B.Comp. in Computer Science, National University of Singapore, 2016 |
Research Interests: machine learning
Akshay Viswanathan
Software Engineer, Visa Inc.
| B.Eng. in Computer Engineering (Hons. 1st Class), National University of Singapore, 2015 |
Research Interests: machine learning
Shailendra Khemka
Business Solutions: Software Engineer, Deutsche Bank AG - SG Branch
| Recipient of Tata Consultancy Services Asia Pacific Medal and Prize for 2nd best graduate throughout the course of study for B.Comp, Defence Science & Technology Agency Prize for top UROP student in B.Comp., & Sung Kah Kay Memorial Prize Winner in NUS University Scholars Programme (USP) | |
| University Scholars Programme & von Neumann Programme for B.Comp in Computer Science, National University of Singapore, 2013 |
Research Interests: multi-agent planning
Yu, Jiangbo (余江波)
KAI Square
| B.Sc. in Computer Science, Peking University |
Research Interests: probabilistic ML