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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

Bui, Nhung

Ph.D.

B.Sc. in Computer Science (Hons.), Vietnam National University - Ho Chi Minh City University of Science, 2022

Research Interests: data-centric AI, large language models, machine unlearning

Hoang, Cong Duc

Ph.D.

B.Sc. in Mathematics (Hons.), Vietnam National University - Ho Chi Minh City University of Science, 2018

Research Interests: data-centric AI, large language models

Dao, Hieu

Ph.D.

B.Sc. in Computer Science (Advanced Program in Computer Science), Vietnam National University - Ho Chi Minh City University of Science, Jul 2021
M.Sc. In Computer Science, John Von Neumann Institute - Vietnam National University HCM, Dec 2023

Research Interests: data-centric AI, large language models

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 Research Achievement Award, 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

Liu, Zhuanghua

Ph.D.

Recipient of AI Singapore - CNRS@Create DesCartes Joint PhD Scholarship and NUS Research Achievement Award
B.Sc. in Computer Science and Technology, Shanghai Jiaotong University
M.Sc. In Information Systems, Nanyang Technological University

Research Interests: optimization

Wang, Jingtan

Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)

Recipient of A*STAR Computing and Information Science Scholarship (ACIS) and NUS Research Achievement Award
B.Eng. in Computer Science (Hons. 1st Class) with Minor in Mathematics, Nanyang Technological University

Research Interests: data-centric AI, large language models

Zhao, Zitong

Ph.D. (Co-advised by See-Kiong Ng)

B.Sc. in Computer Science and B.Sc. in Data Science, University of Michigan -- Ann Arbor

Research Interests: 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

Liu, Tiedong

Ph.D.

B.Eng. in Electrical and Electronic Engineering (Hons. 1st Class) with Second Major in Mathematics and Minor in AI, National University of Singapore

Research Interests: data-centric AI, large language models

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) and NUS Research Achievement Award
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

Chen, Jiangwei

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) with Major in Mathematics, National University of Singapore

Research Interests: collaborative ML, machine unlearning

Lu, Xinyang

Ph.D. (Co-advised by See-Kiong Ng)

B.Eng. in Electrical and Electronic Engineering (Hons. 1st Class), Nanyang Technological University

Research Interests: data-centric AI, large language models, machine unlearning

Hu, Wenyang

Ph.D. (Co-advised by See-Kiong Ng)

B.Eng. in Electrical and Electronic Engineering (Hons. 1st Class), Nanyang Technological University

Research Interests: data-centric AI, large language models, incentives, collaborative ML, federated learning

Lin, Xiaoqiang

Ph.D. (Co-advised by See-Kiong Ng)

Recipient of NUS Research Achievement Award x 2
B.Sc. in Statistics (Data Science & Technology), Fudan University

Research Interests: incentives, collaborative ML, federated learning, data-centric AI, large language models

He, Zhenfeng

Ph.D.

Recipient of NUS Research Achievement Award
B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore

Research Interests: automated ML, neural architecture search, data-centric AI, large language models

Sng, Weicong

Ph.D.

Recipient of Graduate Tutorship
B.Sc. in Statistics (Hons. 2nd Upper), National University of Singapore
M.Comp. in Computer Science, National University of Singapore

Research Interests: reinforcement learning, large language models

Qiao, Rui

Ph.D.

Recipient of NUS Research Achievement Award x 2, 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
Visiting Scholar, University of Washington, Sep 2024 - Dec 2024 (Co-advised by Pang Wei Koh, UDub)

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
Visiting Scholar, Harvard University, Aug 2023 - Dec 2023 (Co-advised by Finale Doshi-Velez, Harvard)

Research Interests: machine unlearning, federated learning

Xu, Xinyi (徐信羿)

Ph.D. (Co-advised by Chuan Sheng Foo, A*STAR)

Recipient of NUS Dean's Graduate Research Excellence Award, 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, Google Travel Award
B.Sc. in Computer Science (Hons. 1st Class), National University of Singapore
Visiting Scholar, Carnegie Mellon University, Aug 2022 - Apr 2023 (Co-advised by Giulia Fanti, CMU)
Visiting Scholar, University of California, Berkeley, Feb 2024 - Jul 2024 (Co-advised by Michael Jordan, UC Berkeley)
Research Scientist Intern, Central Applied Science Team, Meta, Oct 2024 - Present

Research Interests: incentives, collaborative ML, federated learning, reinforcement learning, data-centric AI

Sim, Rachael Hwee Ling

Postdoctoral Fellow

Recipient of NUS Dean's Graduate Research Excellence Award, 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
Ph.D. in Computer Science, National University of Singapore (Co-advised by Patrick Jaillet, MIT), Jul 2024

Research Interests: incentives, collaborative ML, federated learning, data-centric AI, Bayesian optimization

Lucas Agussurja

Ph.D.

Recipient of NUS Research Achievement Award
B.Sc. in Computer Science (Hons. 2nd Upper Class), National University of Singapore

Research Interests: data-centric AI, large language models, incentives, collaborative ML

Khoo, Zi-Yu

Postdoctoral Fellow

B.Eng. in Mechanical Engineering (Hons. 1st Class), National University of Singapore, May 2018
Ph.D. in Computer Science, National University of Singapore, Jul 2024

Research Interests: active learning, experimental design, physics-informed neural networks, AI for Science

Nithia Vijayan

Postdoctoral Fellow

B.Tech. in Computer Science and Engineering, Mar Athanasius College Of Engineering, Jun 2006
MTech in Artificial Intelligence, University of Hyderabad, Jun 2012
Ph.D. in Computer Science, Indian Institute of Technology Madras, Dec 2023

Ph.D. Thesis: Policy Gradient Algorithms for Sequential Decision Making under Uncertainty and Risk

Research Interests: collaborative ML, reinforcement learning

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 Research Achievement Award, 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

Alumni

Tay, Sebastian Shenghong

Quantitative Researcher, Squarepoint, Aug 2024

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, May 2020
Visiting Scholar, Massachusetts Institute of Technology, Jan 2024 - Jun 2024 (Co-advised by Patrick Jaillet, MIT)
Ph.D. in Computer Science, National University of Singapore (Co-advised by Chuan Sheng Foo, A*STAR), Jul 2024

Research Interests: incentives, collaborative ML, federated learning, data valuation, 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

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

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
Postdoctoral 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

Trần, Gia Lạc

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
Postdoctoral Fellow, National University of Singapore, Aug 2024

Ph.D. Thesis: Advances of Deep Gaussian Processes: Calibration and Sparsification

Research Interests: Gaussian process

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

Nathan Azaria

Software Engineer, Facebook London

Recipient of National Computer Systems Medal And Prize for the top student in B.Comp. (Computer Science) programme
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