Research Focus

• Designs quantum agents capable of executing complex tasks in realistic environments
• Develops quantum algorithms for information processing and decision-making
• Investigates theoretical foundations of quantum advantage in computation

Research Interests

Education

• PhD in Theoretical Physics, University of Melbourne, 2012
• BSc in Pure Mathematics, University of Melbourne, 2008

Notable Awards

• 2025 Recipient CQT Fellow, Singapore

Open to collaboration with colleagues interested in quantum information theory, quantum algorithms, and the mathematical foundations of machine learning.

Research Focus

• Builds robust machine learning systems with precise formal guarantees
• Develops generative models with provable reliability and correctness properties
• Studies statistical foundations of trustworthy AI under distribution shift

Research Interests

Education

• DPhil in Machine Learning, University of Oxford, 2020
• BSc in Electrical Systems, University of Melbourne, 2014
• BSc Honours in Applied Mathematics, Monash University, 2015

Postdoctoral Experience

• Florence Nightingale Bicentenary Research Fellow, University of Oxford

Open to collaborations at the intersection of modern AI systems and formal methods, including proof assistants, generative models, and world models.

Research Focus

• Builds reliable machine learning systems that remain robust in open-world settings
• Investigates how ML models fail under real-world complexity and uncertainty
• Develops methods for safe deployment of AI across dynamic environments

Research Interests

Education

• PhD in Computer Sciences, University of Wisconsin-Madison, 2025
• BSc in Electrical Engineering, Xi’an Jiaotong University, 2020

Notable Awards

• 2026 Recipient, AAAI-26 New Faculty Highlights
• 2025 Recipient, CS Ivanisevic Award in UW-Madison
• 2024 Recipient, Rising Stars in Data Science (worldwide 30 recipients)

Open to collaborations on trustworthy AI, foundation models, and reliable learning systems in open-world settings.

Research Focus

• Improves efficiency, security and scalability of data processing engines
• Studies query evaluation under continuous updates and streaming data
• Designs practical database systems grounded in theoretical foundations

Research Interests

Education

• PhD in Computer Science, Hong Kong University of Science and Technology, 2022
• BSc in Computer Science & Engineering, Zhejiang University, 2017

Postdoctoral Experience

• Research Fellow, EPFL

Notable Awards

• 2023 Recipient, SIGMOD Research Highlight Award

Open to collaborations with outstanding researchers and practitioners across data processing, database theory, and query optimisation.

Research Focus

• Investigates the relationship between LLM architecture and language understanding
• Develops unified analysis frameworks for large language model behaviour
• Applies AI Singapore-funded research to advance multilingual NLP systems

Research Interests

Education

• PhD in Computer Science, National University of Singapore (Singapore-MIT Alliance), 2009
• MSc in Computer Science, National University of Singapore (Singapore-MIT Alliance, 2006
• Bcomp in Computer Science (Hon I), National University of Singapore, 2005

Postdoctoral Experience

• Postdoctoral Research Associate, University of Illinois at Urbana-Champaign, USA

Notable Awards

• 2023 Outstanding Paper Award, EMNLP 2023
• 2021- Top 2% Scientists in a Global List by Stanford University

Open to collaborations on LLMs, particularly in agentic systems, interpretability, and responsible AI.

Research Focus

• Develops feed-forward photorealistic 3D and 4D reconstruction systems
• Builds Creative AI systems that perceive and interact with the physical world
• Designs generative models for spatial and physical AI applications

Research Interests

Education

• PhD in Computer Science, Nanyang Technological University, 2021
• MSc in Computer Science, Beihang University, 2017
• BSc in Information Engineering, Beijing Jiaotong University, 2014

Postdoctoral Experience

• MSCA Fellow, VGG, University of Oxford, 2024–2025

Notable Awards

• NRF Fellowship, Singapore, 2025
• DAAD Ainet Fellowship, Germany, 2024
• HORIZON Marie Skłodowska-Curie (MSCA) Fellowship, 2024
• Outstanding PhD Thesis Award, NTU, 2022

Open to collaboration in Creative AI, 3D/4D reconstruction and physical world simulation.

Research Focus

• Builds robust and trustworthy multimodal AI systems for real-world interaction
• Develops video understanding models that reason across time and modality
• Investigates reliability and alignment of AI agents in human-facing settings

Research Interests

Education

• PhD in Computer Science, Korea Advanced Institute of Science and Technology (KAIST), 2023
• MSc in Computer Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), 2018
• BSc in Computer Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), 2016

Postdoctoral Experience

• Postdoctoral Research Associate, UNC Chapel Hill

Notable Awards

• 2026 AAAI New Faculty Highlights
• 2023 The Best Ph.D. Dissertation Award from KAIST College of Engineering.

Open to collaborative opportunities and joint funding proposals across multimodal AI, personalised AI assistants, world models, and embodied AI.

Research Focus

• Designs high-performance computing systems optimised for AI and LLM workloads
• Develops parallel file systems and storage architectures for large-scale computing
• Investigates performance analysis and optimisation for distributed computing environments

Research Interests

Education

• PhD in Computer Science, University of Illinois Urbana-Champaign, 2022
• MSc in Computer Science, Tianjin University, 2017
• BSc in Computer Science, Hainan University and Tianjin University, 2014

Postdoctoral Experience

• Fernbach Postdoctoral Fellow, Lawrence Livermore National Laboratory

Notable Awards

• 2025 IEEE/SBAC-PAD Paper Recognition Award

Open to collaborations with computer scientists and AI researchers on high-performance computing, storage systems, and systems for AI and LLMs.

Research Focus

• Explores fundamental questions at the intersection of theoretical computer science and mathematics
• Investigates computational complexity, algebraic circuits and polynomial identity testing
• Develops mathematical frameworks connecting algebra and the theory of computation

Research Interests

Education

• PhD in Computer Science (Google PhD Fellow), Chennai Mathematical Institute, 2022
• MSc in Computer Science, Chennai Mathematical Institute, 2018
• BSc in Mathematics and Computer Science, Chennai Mathematical Institute, 2016

Postdoctoral Experience

• Research Fellow (Postdoctoral Researcher), National University of Singapore

Notable Awards

• 2023 ACM India Doctoral Dissertation Award (Best doctoral dissertation in India, CS & related fields)
• 2021 Best Student Paper Award and Best Paper Award, CSR
• 2018 Google PhD Fellowship (2018–2022)

Open to collaborations on computational complexity, algebraic circuits, and the mathematical foundations of theoretical computer science.

Research Focus

• Applies AI to fraud detection and financial risk management in industry settings
• Develops data-driven product management frameworks for technology platforms
• Bridges academic computing with industry practice through applied AI projects

Research Interests

Education

• PhD in Computer Science, National University of Singapore, Singapore, 2008
• MSc in Computer Science and Engineering, Zhejiang University, China, 2002
• BSc in Computer Science and Engineering, Zhejiang University, China, 1999

Open to collaborations bridging AI and industry applications, particularly in fintech, fraud detection, and digital product management.

Research Focus

• Builds instruction-following datasets that expose gaps between human and AI capability
• Investigates where AI agents fail at tasks humans find straightforward
• Develops benchmarks to advance human-AI collaboration in complex reasoning tasks

Research Interests

Education

• PhD in Computer Science, Massachusetts Institute of Technology (MIT)
• MSc in Computer Science, Massachusetts Institute of Technology (MIT)
• BA in Mathematics & BA in Computer Science, University of California, Berkeley

Postdoctoral Experience

• Postdoctoral Researcher, Massachusetts Institute of Technology (MIT)

Notable Awards

• 2025 Nanyang Assistant Professorship

Open to collaborations on instruction following, human-AI collaboration, and geometry generation in embodied environments.

Research Focus

• Integrates kernel methods with Gaussian processes for statistical machine learning
• Develops uncertainty-aware machine learning systems with principled guarantees
• Advances non-parametric representations for scalable probabilistic inference

Research Interests

Education

• DPhil in Statistics (Statistical Machine Learning) University of Oxford, UK, 2023
• MMath in Mathematics and Statistics, University of Oxford, UK, 2018
• BA in Mathematics and Statistics, University of Oxford, UK, 2017

Postdoctoral Experience

• Postdoctoral Researcher (CISPA Helmholtz Center for Information Security, DE, 2023-2025

Open to collaborations where principled uncertainty modelling can benefit research or applications across machine learning and AI.

Research Focus

• Investigates how biological and artificial intelligence adapt and reason dynamically
• Builds AI models that generalise across complex, changing environments
• Studies visual attention and eye movement as foundations for robust AI perception

Research Interests

Education

• PhD in Computational Neuroscience and AI, National University of Singapore (NUS), 2019 (Including research residency as a Visiting Graduate Student at Harvard Medical School, 2017–2018)
• BEng (First Class Honours) in Electrical and Computer Engineering, National University of Singapore (NUS), 2015

Postdoctoral Experience

• Postdoctoral Fellow, Harvard-MIT Center for Brains, Minds and Machines (CBMM), 2019–2021

Open to collaborations with linguists, neuroscientists, and AI researchers interested in visual intelligence, cognitive science, and brain-computer interfaces.

Research Focus

• Designs robotic planning algorithms for solving long-horizon real-world tasks
• Develops learning-based decision-making systems for autonomous robots
• Bridges reinforcement learning and planning for robust robot behaviour

Research Interests

Education

• PhD in Electrical and Computer Engineering, Virginia Tech, 2019
• MSc in Mechanical Engineering, Korea University, 2013
• BSc in Mechanical Engineering, Korea University, 2011

Postdoctoral Experience

• Postdoctoral Fellow, University of Texas at Austin
• Postdoctoral Associate, Massachusetts Institute of Technology (MIT)

Notable Awards

• 2025 Microsoft Future Leader in Robotics and AI

Open to collaborations within CCDS and beyond across planning, reasoning, perception, and robotic learning.

Research Focus

• Bridges quantum computing and AI through algorithm design and implementation
• Develops quantum machine learning methods with theoretical and practical grounding
• Investigates quantum advantage for optimisation and machine learning problems

Research Interests

Education

• PhD in Computer Science, University of Sydney, 2021
• MSc in Computer Science, University of Sydney, 2018
• BSc in Elite Class of Physics, Sichuan University, 2015

Postdoctoral Experience

• Research Fellow, Nanyang Technological University

Notable Awards

• 2025 Top 2% Scientists in a Global List by Stanford University
• Forbes 30-under-30 Asia Award

Open to collaborations with researchers in large language models or quantum computing, particularly on model development, alignment, and optimisation.

Research Focus

• Develops efficient algorithms for AI systems with provable performance guarantees
• Advances deep learning theory through mean-field analysis and optimisation
• Studies stochastic optimisation methods for large-scale machine learning

Research Interests

Education

• PhD in Information Science and Technology, The University of Tokyo, 2018
• MSc in Mathematical Sciences, The University of Tokyo, 2009
• BSc in Mathematics, Sophia University, 2007

Open to collaborations on deep learning theory, stochastic optimisation, and the mathematical foundations of AI systems.

Research Focus

• Develops theoretical foundations for Monte Carlo methods and Markov chain sampling
• Investigates convergence guarantees for probabilistic inference algorithms
• Studies statistical sampling methods for scalable Bayesian computation

Research Interests

Education

• PhD in Mathematics, National University of Singapore, 2014
• MSc in Engineering, Ecole Central Paris, 2009
• BSc in Physics, Budapest University of Technology and Economics, 2009

Postdoctoral Experience

• Postdoctoral Research Fellow, University of Oxford
• Postdoctoral Research Fellow, National University of Singapore

Open to collaborations applying Monte Carlo and sampling methods to machine learning, including generative diffusion models and data augmentation.

Research Focus

• Develops mobile and wearable systems for physiological signal sensing
• Builds brain-computer interfaces and extended reality applications for accessibility
• Investigates human-computer interaction through biosignals and immersive technologies

Research Interests

Education

• PhD in Bioengineering, University of Auckland, 2022
• BEng in Electrical Engineering, Singapore University of Technology and Design, 2016

Postdoctoral Experience

• Postdoctoral Fellow, Massachusetts Institute of Technology (MIT)

Notable Awards

• 2025 Best Paper Award, ACM CHI
• 2025 Best Paper Award, IEEE VR
• 2022 Distinguished Paper Award (Best Paper Award), ACM IMWUT

Open to collaborations in AI and HCI, particularly in wearable systems, physiological sensing, brain-computer interfaces, and cognitive health.

Research Focus

• Builds secure and privacy-preserving computing systems at scale
• Uncovers real-world threats that traditional security defences overlook
• Develops confidential computing frameworks for sensitive data environments

Research Interests

Education

• PhD in Electrical and Computer Engineering, Carnegie Mellon University, 2004
• MSc in Computer Science and Engineering, Shanghai Jiao Tong University, 1996
• BSc Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, 1993

Notable Awards

• Distinguished Paper Award, ACM Conference on Computer and Communications Security (CCS 2025)
• ACM Fellow (Class of 2023)
• AMiner AI 2000 Most Influential Security and Privacy Scholars List (ranked 21st worldwide for 2013–2022)

Open to collaborations across security and privacy research, particularly with colleagues working on systems security, confidential computing, and privacy-preserving AI.