The College of Computing and Data Science (CCDS) at NTU Singapore brings together a diverse community of faculty whose work spans computing, data science, and artificial intelligence. Together, they shape how computing is understood, taught, and applied – advancing both research and education in an AI-shaped world.

From the Dean

At CCDS, our faculty shape how computing is understood, taught, and applied in an AI-shaped world. We seek individuals with strong disciplinary foundations who are able to think across systems, domains, and real-world contexts.

As artificial intelligence becomes embedded in how work is done, the role of computing education must evolve. Our faculty play a central role in this – advancing research while guiding how students learn to reason, build, and make sound judgements, both with and without AI.

This page reflects the growing community of scholars contributing to that mission.

Prof Luke Ong, Dean CCDS

Prof Luke Ong

Dean, CCDS

Recent Appointments

CCDS continues to grow its faculty with new appointments and named professorships that strengthen the College's research capabilities and academic leadership. These reflect our ongoing commitment to depth, rigour, and real-world impact.

Djordje Zikelic

Djordje Zikelic

Computing

PL, SE & Formal Methods Assistant Professor

Research Focus

  • Designs formal verification methods for probabilistic programs and AI systems
  • Develops safe reinforcement learning algorithms with provable correctness guarantees
  • Builds certified learning frameworks for formal verification of machine learning models

Research Interests

Formal Methods Programming Languages Trustworthy AI Safe Autonomy

Education

  • PhD in Computer Science, Institute of Science and Technology Austria (ISTA), 2023
  • MMath in Mathematics, University of Cambridge, 2018
  • BA in Mathematics, University of Cambridge, 2018

Notable Awards

  • Distinguished Tool Paper Award, ATVA 2025
  • Distinguished Paper Award, FM 2024
  • Outstanding PhD Thesis Award at ISTA, 2024

I am always happy to discuss potential topics that we could collaborate on, or to simply chat about research over a coffee. If any of the above topics sound interesting, please reach out.

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Li Yingzhen

Li Yingzhen

Data Science

Statistical Data Science and Applications Nanyang Associate Professor

Research Focus

  • Renovates Bayesian inference procedures for auto-regressive models including LLMs
  • Scales causal representation learning to large-scale generative AI models
  • Develops scalable algorithms connecting statistical theory with practical ML systems

Research Interests

Probabilistic ML – deep generative models, uncertainty quantification, reliable ML Bayesian statistics – approximate inference, sequential decision-making Causal discovery & causal representation learning Sequential data & dynamic modelling

Education

  • PhD in Engineering, University of Cambridge, UK, 2018
  • BSc in Mathematics, Sun Yat-Sen University, China, 2013

Happy for chats regarding any topic within machine learning. I’d be happy to explore collaborations within the following topics: - Statistical machine learning - Generative modelling - Structured r...

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Bian Jiawang

Bian Jiawang

Artificial Intelligence

Computer Vision & Language Nanyang Assistant Professor

Research Focus

  • Develops spatial intelligence systems enabling machines to understand the 3D world
  • Builds neural scene representations using NeRF and 3D Gaussian Splatting
  • Designs vision-language-action models for embodied AI and robotics applications

Research Interests

3D Vision World Models VLM and VLA Embodied AI

Education

  • PhD in Computer Vision, University of Adelaide, 2022
  • BSc in Computer Science, Nankai University, 2016

Postdoctoral Experience

  • Postdoctoral Researcher, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE, 2024–2025
  • Postdoctoral Researcher, University of Oxford, UK, 2022–2024

Open to collaborations on world models, embodied AI, vision-language-action models, robotics, manipulation, and autonomous driving.

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Faculty Positions

CCDS is committed to building a strong and forward-looking faculty community. We seek individuals who combine deep disciplinary expertise with the ability to engage across domains and contribute to both research and education.

Opportunities are available across a range of academic tracks, including tenure-track, teaching-focused, and research positions.

Meet Our Faculty

Discover the full breadth of faculty across the College of Computing and Data Science, including their research interests and areas of expertise.

Cross Appointments, Adjunct & Visiting Faculty, Emeritus Professorship

In addition to its core faculty, CCDS works closely with cross-appointed faculty, adjunct and visiting academics, and emeritus professors who contribute to the College's teaching, research, and broader academic community.