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NTU College of Computing and Data Science
Faculty at CCDS
Advancing computing research and education for an AI-shaped world.
■Deanery ■Division Heads ■Research Groups ■Faculty Directory ■Faculty Positions

The College of Computing and Data Science (CCDS) at NTU Singapore has welcomed a growing cohort of faculty since 2024, whose work spans artificial intelligence, systems, data science, and the digital economy. Together, they strengthen the College's research depth and expand how computing is taught, studied, and applied.

2026 → 2025 → 2024 →
2026
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
Education
  • PhD, Computer Science — UC Berkeley, 2023
  • B.Tech, Computer Science — IIT Bombay, 2015
Open to collaboration
Keen to collaborate across theory and practice of ML and statistics, particularly connections between statistical theory, algorithm design, and applications in the natural sciences.
Email Homepage
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
Education
  • PhD, AI — University of Edinburgh, 2015
  • MSc, AI — University of Edinburgh, 2011
  • BSc, CS — TU Darmstadt, 2010
Open to collaboration
Open to collaborations across RL, multi-agent systems, and LLM-based agentic workflows.
Email Homepage
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
Education
  • PhD (in progress), Information Systems & Analytics — NUS
  • M.Comp, CS — NUS, 2019
  • B.Eng CS & B.Business — NTU, 2015
Open to collaboration
Happy to connect on research related to LLMs for education, finance applications, or data-driven teaching.
Email
Hai-Dang Dau

Hai-Dang Dau

Applied Mathematician | Bayesian Computation & Generative Modelling

Statistical Data Science and Applications Nanyang Asst Prof
Research focus
  • Works on sampling from complex probability distributions — the core of Bayesian inference and inverse problems
  • Combines classical Monte Carlo methods with modern generative modelling techniques like diffusion models
Research interests
Monte Carlo / MCMC Sequential Monte Carlo Diffusion Models Bayesian Computation
Education
  • PhD, Applied Mathematics — ENSAE Paris, 2022
  • MSc, Applied Mathematics — Ecole Polytechnique, 2019
Open to collaboration
Actively looking for collaborators in MCMC, diffusion models, Bayesian computation, and inverse problems — including protein modelling and complex physical systems.
Email Homepage
Arne Leitert

Arne Leitert

Computer Scientist | Algorithms & Graph Theory

Algorithms and Complexity Senior Lecturer
Research focus
  • Specialises in algorithmic graph and hypergraph theory, including algorithms for huge-scale networks
  • Investigates how generative AI is reshaping what rigorous CS education needs to look like
Research interests
Algorithmic Graph Theory Discrete Algorithms Algorithms for Large-Scale Networks
Education
  • PhD, Computer Science — Kent State University, 2017
  • MSc, Computer Science — University of Rostock, 2012
Open to collaboration
Open to collaborations in graph algorithms and discussions on the future of CS education in the age of generative AI.
Email Homepage
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Tel: (65) 65138572

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