Bryan HOOI

Assistant Professor
PhD in Machine Learning, Carneige Mellon University, 2019
MSc in Computer Science and BSc in Mathematics, Stanford University, 2014
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Research Areas

  • Artificial Intelligence
  • Database

Research Interests

  • Machine Learning
  • Graph Algorithms
  • Anomaly Detection
  • Spatiotemporal Data
  • Biomedical Applications of AI


Bryan HOOI is an assistant professor in the Computer Science Department, School of Computing at the National University of Singapore. He has obtained his PhD degree in Machine Learning from Carnegie Mellon University, USA in 2019, his Master of Science degree in Computer Science and Bachelor with Honours degree in Mathematics from Stanford University, USA in 2014. His research interests include machine learning, graph mining, anomaly detection, spatiotemporal data, and biomedical applications of AI.

Current Projects

Selected Publications

Awards & Honours

  • ECML-PKDD 2018 Runner-Up Best Student Data Mining Paper Award
  • KDD 2016 Best Paper Award (Research Track)

Teaching (2020/2021)

  • CS5228: Knowledge Discovery and Data Mining
  • CS6208: Advanced Topics in Artificial Intelligence