PeopleofSuperintelligence

Researcher

Bryan Hooi

Also known as Hooi Bryan

Bryan Hooi is a machine-learning researcher whose graph methods target fraud and anomalies. At Stanford, he earned degrees in mathematics and computer science in 2014, then coauthored FRAUDAR, a graph-fraud system that won KDD's 2016 Best Paper Award. His research spans graph neural networks for time-series anomalies, LUNAR for local outlier detection, and a KDD 2024 paper on fake-news detection under LLM-empowered style attacks. As of October 2026, he is an assistant professor at NUS, where his work includes graph memory for LLM agents.

Works
262
Citations
7,483
h-index
39

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2014

    Stanford degrees

    At Stanford, he earns a master's degree in computer science and a bachelor's degree in mathematics in 2014.

  2. 2016

    FRAUDAR wins a KDD award

    In 2016, he coauthors FRAUDAR, an algorithm for spotting fake reviews and follows despite camouflage. The paper wins KDD's Best Paper Award in the research track.

  3. 2018

    GridWatch for power grids

    GridWatch combines sensor placement with anomaly detection for electrical grids; in 2018, the paper earns runner-up for ECML-PKDD's Best Student Data Mining Paper Award.

  4. 2019

    Joining NUS Computing

    In 2019, he joins NUS Computing as an assistant professor and completes a PhD in machine learning at Carnegie Mellon University.

  5. 2021

    Graph neural nets for time series

    In 2021, Hooi and Ailin Deng publish "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series," which models inter-sensor relationships to detect and explain anomalies.

  6. 2022

    LUNAR for local outliers

    In 2022, Hooi and his coauthors introduce LUNAR, a graph neural network that learns from each node's nearest neighbors to find anomalies.

  7. 2024

    Fake news detection at KDD

    At KDD 2024, he coauthors "Fake News in Sheep's Clothing," a paper on robust fake-news detection against LLM-empowered style attacks.

  8. As of October 2026

    Assistant professor at NUS

    He is an assistant professor in NUS's School of Computing and Institute of Data Science. His 2026 research includes graph memory for LLM agents.

Career

  1. Since 2019National University of SingaporeAssistant Professor
  2. 2020–2024Institute of Data Science

Education

  1. 2019Carnegie Mellon UniversityPhD in machine learning
  2. 2014Stanford UniversityMaster's degree in computer science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Bryan Hooi. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes National University of Singapore. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  3. The United States employs an estimated 48% of people shaping AIIncludes National University of Singapore. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes National University of Singapore. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Bryan Hooi yet. Send us a free-licensed photo.

  1. NUS Computing welcomes two new faculty members comp.nus.edu.sg. Checked 20 October 2026.
  2. HOOI Kuen Yew Bryan - NUS Computing comp.nus.edu.sg. Checked 20 October 2026.
  3. FRAUDAR: Bounding Graph Fraud in the Face of Camouflage kdd.org. Checked 20 October 2026.
  4. Graph Neural Network-Based Anomaly Detection in Multivariate Time Series arxiv.org. Checked 20 October 2026.
  5. LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks ojs.aaai.org. Checked 20 October 2026.
  6. Research Track Papers - ACM KDD 2024 kdd.org. Checked 20 October 2026.
  7. Bryan Hooi @ NUS bhooi.github.io. Checked 20 October 2026.