Meet Our New Faculty | CCDS NTU Singapore | College of Computing and Data Science

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 →

2024

Li Yi (SPMS)

Theoretical Computer Scientist | Algorithms for Massive Data

Assoc Prof

Research focus

Designs streaming algorithms and sketching techniques that process huge datasets using a fraction of the memory
Works on randomised numerical linear algebra to reduce large-scale regression and low-rank approximation to tractable sub-problems

Research interests

Streaming Algorithms Dimension Reduction Randomised Linear Algebra Compressive Sensing

Education

PhD, CS & Engineering — University of Michigan, 2013
MSc — University of Michigan, 2013
BSc — Shanghai Jiaotong University, 2008

Open to collaboration

Get in touch if you think streaming algorithms or randomised methods might be relevant to your work.

Zhang Jiehuang

Researcher & Educator | Ethical AI & Human-Computer Interaction

Lecturer

Research focus

Studies how to build responsible AI systems with fairness built into the design process
Previously built early-detection AI models in industry and researches HCI in autonomous vehicles

Research interests

Ethical AI Human-Computer Interaction AI for Social Good Data Science

Education

PhD, Computer Science, 2023
BSc, Mechanical Engineering, 2015

Open to collaboration

Looking for collaborators in ethical AI, data science, and HCI — happy to chat if you have projects in that area.

Tan Wen Jun

Researcher & Educator | Parallel Computing & Simulation

Lecturer

Research focus

Specialises in high-performance computing, GPU programming, and large-scale simulation of complex systems
Applies parallel and distributed methods to real-world problems in traffic, manufacturing, and multi-robot systems

Research interests

Parallel & Distributed Programming HPC / GPGPU Simulation & Modeling Cyber-Physical Systems

Education

PhD — NTU, 2020
MSc, Computer Engineering — NTU, 2014
BSc, Computer Engineering — NTU, 2010

Open to collaboration

Looking for collaborators in parallel programming, GPGPU, or simulation-related data analytics, ML, or AI.

Themis Gouleakis

Algorithms Researcher | Sublinear & Learning-Augmented Algorithms

Asst Prof

Research focus

Designs sublinear-time algorithms that extract accurate answers from massive datasets using remarkably few samples
Works on robust learning algorithms that perform reliably even when training data is noisy or corrupted

Research interests

Sublinear Algorithms Property Testing Computational Learning Theory Online Algorithms

Education

PhD, CS — MIT, 2018
MSc — MIT, 2015
BSc — National Technical University of Athens, 2011

Open to collaboration

Open to collaborations on algorithms, learning theory, and robust statistical methods.

Wei Dong

Computer Scientist | Data Privacy & Security

Nanyang Asst Prof

Research focus

Researches how to release analytical results from sensitive datasets without compromising individual privacy
Specialises in differential privacy applied to databases, machine learning, and federated learning

Research interests

Data Security & Privacy Differential Privacy Database Theory Federated Learning

Education

PhD, CS & Engineering — HKUST, 2023
BEng, Information Engineering — City University of Hong Kong, 2017

Open to collaboration

Open to collaborations across all areas of data science involving data privacy — let's tackle it together.

Melanie Herschel

Data Engineering Researcher | Data Quality & Provenance

Assoc Prof

Research focus

Works on transforming raw, messy data into high-quality, traceable datasets that underpin accurate and fair analysis
Builds systems for data integration, metadata management, and responsible data processing at scale

Research interests

Data Integration & Quality Data Provenance Data Pipelines Responsible Data Management

Education

PhD, Computer Science — Humboldt-University Berlin, 2008
BSc/BEng, Information Technology — University of Cooperative Education Stuttgart, 2003

Open to collaboration

Thrives on solving practical data problems across diverse domains — engineering, construction, manufacturing, data science.

Timothy van Bremen

AI Researcher | Probabilistic Reasoning & Knowledge Representation

Asst Prof

Research focus

Works at the intersection of logic, databases, and probability — designing algorithms for principled reasoning under uncertainty
Specialises in probabilistic programming, probabilistic databases, and knowledge compilation

Research interests

Probabilistic Inference Probabilistic Programming Knowledge Representation Probabilistic Databases

Education

PhD, Computer Science — KU Leuven, 2022
MS — National Taiwan University, 2017
BEng — Imperial College London, 2015

Open to collaboration

Interested in problems with a relational or logical flavour involving uncertainty and probabilistic reasoning.

Yong Kiam Tan

Formal Methods Researcher | Trustworthy Automated Reasoning

Nanyang Asst Prof

Research focus

Works on making automated reasoning tools mathematically trustworthy — including verifying the verifiers themselves
Applies theorem proving and compiler verification to hybrid and control systems in cybersecurity contexts

Research interests

Theorem Proving Trustworthy Automated Reasoning Compiler Verification Hybrid Systems Verification

Education

PhD, CS (Pure & Applied Logic) — Carnegie Mellon University, 2022
BA, Computer Science — University of Cambridge, 2015

Open to collaboration

Open to collaborations applying formal methods to real-world cybersecurity and systems verification challenges.

Xijie Gao

Economist & Data Scientist | Digital Economy

Asst Prof

Research focus

Studies how digital platforms shape markets, consumer welfare, and aggregate productivity
Uses large-scale transaction data to quantify the real-world economic impact of new technologies

Research interests

Digital Economy Industrial Organization Macroeconomics

Education

PhD, Economics — London School of Economics, 2020
MRes — LSE, 2015
MSc — LSE, 2014
BSc, Economics & Mathematics — Wuhan University, 2013

Open to collaboration

Working on identifying platform companies from public business documents using classification algorithms — keen to hear new perspectives.

Yong Wang

Visualisation Researcher | Visual Analytics & Human-AI Collaboration

Asst Prof

Research focus

Creates intelligent visualisation systems and AI-powered analytics tools for exploring complex data in FinTech, education, and quantum computing
Studies how humans and AI can collaborate through interactive visual interfaces to make better decisions

Research interests

Information Visualization Visual Analytics Human-Computer Interaction Human-AI Collaboration

Education

PhD, Computer Science — HKUST, 2018
MSc — Huazhong University of Science & Technology, 2014
BSc — Harbin Institute of Technology, 2011

Open to collaboration

Open to collaborations in visualisation, HCI, and human-AI systems — feel free to get in touch.

Bei Xiaohui

Theoretical Computer Scientist | Algorithmic Game Theory & Fair Division

Assoc Prof

Research focus

Studies how to design fair and efficient algorithms for resource allocation in multi-agent systems
Explores strategic behaviour in AI and foundation models, including how ML can advance computational theory

Research interests

Algorithmic Game Theory Fair Division Theoretical Computer Science Multi-Agent Systems

Education

PhD, Computer Science — Tsinghua University, 2012
BSc — Tsinghua University, 2008 (first Yao Class)

Open to collaboration

Interested in multi-agent interactions, strategic behaviours of foundation models, and using ML to advance computational theory.

Alvin Chan

Deep Learning Researcher | AI for Healthcare & Drug Discovery

Asst Prof

Research focus

Develops AI tools that make deep learning accessible to medical researchers without requiring deep ML expertise
Applies generative models and multimodal LLMs to accelerate drug discovery, including lipid nanoparticle design

Research interests

Generative Modeling Computational Biology Drug Discovery Deep Learning

Education

Postdoctoral Fellow — MIT & Harvard Medical School, 2024
PhD, Computer Science — NTU, 2021
BEng, Bioengineering — NTU, 2013

Open to collaboration

Driven by research that makes a difference in people's lives — if you're excited about AI and medicine, let's talk.

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