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.

Yeshwanth Cherapanamjeri

Yeshwanth Cherapanamjeri

Algorithms & Statistics | Robust Machine Learning

Algorithms and Complexity Nanyang Asst Prof
Research focus
  • Designs efficient algorithms that work reliably even when data is noisy, biased, or heterogeneous
  • Bridges classical statistical theory with modern ML challenges like diffusion model training and language model personalisation
Research interests
Algorithmic Statistics Learning Theory Machine Learning Optimization
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Stefano Albrecht

Stefano Albrecht

AI Researcher | Reinforcement Learning & Multi-Agent Systems

Artificial Intelligence Assoc Prof
Research focus
  • Develops algorithms for autonomous agents that interact robustly with humans and other agents in complex environments
  • Applies multi-agent RL to real-world deployments including autonomous driving and multi-robot warehouse systems
Research interests
Reinforcement Learning Multi-Agent Interaction Game Theory LLM-based Agents
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Joel Quek

Joel Quek

Educator & Researcher | AI for Finance and Education

Data Management and Analytics Lecturer
Research focus
  • Teaches applied machine learning and data science with a strong industry lens in finance
  • Researches how large language models can improve industry classification and learning outcomes in CS/DS education
Research interests
AI in Education AI for Finance Learning Analytics
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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.