PeopleofSuperintelligence

Researcher

Ke-Wei Huang

Also known as Huang Ke-Wei

Ke-Wei Huang is an information-systems professor at the National University of Singapore who applies machine learning to finance and to the methods of social science. After a PhD at New York University's Stern School of Business under Roy Radner, he joined NUS as an assistant professor in 2007. His papers in Information Systems Research and MIS Quarterly address the bias that arises when variables produced by data-mining models enter regression analysis, and he coauthored the finance language-model benchmarks FAITH in 2025 and FinDeepForecast in 2026. A 2026 paper he wrote with Baishi Li, Ta Yu and Kelvin Koa received an ACL Senior Area Chair Highlight Award. Since 2023, he is Executive Director of the Asian Institute of Digital Finance at NUS, an associate professor in the Department of Information Systems and Analytics, and founding program director of the Executive Master in AI and Digital Transformation.

Timeline

  1. 1995–2007

    Degrees in Taiwan and New York

    He earns a BSc in Electrical Engineering in 1995 and an MBA in Finance in 1997, both at National Taiwan University. At New York University's Stern School of Business he completes an MSc in Information Systems in 2002 and a PhD in 2007, with Roy Radner as his advisor.

  2. 2007–2016

    Assistant Professor at NUS

    He joins the National University of Singapore in July 2007 as an assistant professor of information systems, with a joint appointment in economics until 2009. He holds that rank until 2016.

  3. 2011

    Classifying 10-K risk factors

    In 2011, he and Zhuolun Li publish a multi-label text classification algorithm for labeling risk factors in SEC Form 10-K in ACM Transactions on MIS.

  4. 2020–2021

    Digital finance programmes at AIDF

    In August 2020, the Asian Institute of Digital Finance (AIDF) announces funding for his project to build a system that extracts, scores and quantifies financial experts' comments or predictions from news media. In April 2021, as AIDF's Director of Academic Programmes, he speaks for the new NUS Masters and PhD programmes in digital financial technology; he is founding program director of the PhD from 2020 to 2022 and of the MSc from 2020 to 2024.

  5. 2021–2025

    Correcting misclassification bias

    In 2021, he and Mengke Qiao publish "Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining" in Information Systems Research. In 2023, he, Jungpil Hahn and Jiaxu Peng publish a review of methods and assumptions for handling missing values in the same journal, and in 2025 he and Qiao publish "Correcting Measurement Error in Regression Models with Variables Constructed from Aggregated Output of Data Mining Models" in MIS Quarterly.

  6. 2025–2026

    Benchmarks for finance LLMs

    In 2025, he coauthors FAITH, a framework that tests large language models for intrinsic hallucinations over financial documents, with a dataset built from S&P 500 annual reports. In January 2026, a paper he coauthors introduces FinDeepForecast, a live multi-agent system that evaluates deep research agents on financial forecasting tasks.

  7. 2026

    An ACL highlight award

    His paper "The Proxy Presumption: From Semantic Embeddings to Valid Social Measures," coauthored with Baishi Li, Ta Yu and Kelvin Koa, is presented orally at the ACL 2026 main conference in San Diego and receives a Senior Area Chair Highlight Award.

  8. Since 2023

    Executive Director of AIDF

    He becomes Executive Director of the Asian Institute of Digital Finance at NUS in 2023, alongside his post as an associate professor in the Department of Information Systems and Analytics. In 2024, he also becomes AI and Finance Area Lead at the NUS AI Institute and founding program director of the Executive Master in AI and Digital Transformation, which Standard Chartered joins as a knowledge partner in January 2026.

Career

  1. Since 2007National University of SingaporeAssistant Professor of Information Systems, Joint appointment in economics

Education

  1. 2007New York UniversityPhD
  2. 2002New York UniversityMSc in Information Systems
  3. 1997National Taiwan UniversityMBA in Finance
  4. 1995National Taiwan UniversityBSc in Electrical Engineering

From the biography.

  1. 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.
  2. 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.
  3. 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.
  4. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes National University of Singapore. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Ke-Wei HUANG - NUS Computing comp.nus.edu.sg. Checked 21 October 2026.
  2. Ke-Wei Huang | AI, Digital Finance & Computational Social Science comp.nus.edu.sg. Checked 21 October 2026.
  3. Asian Institute of Digital Finance to fund three NUS Computing research projects - NUS Computing comp.nus.edu.sg. Checked 21 October 2026.
  4. NUS Offers Singapore's First Masters and PhD Programmes in Fintech - Fintech Singapore fintechnews.sg. Checked 21 October 2026.
  5. So you have a dataset? Think about the values it's missing - NUS Computing comp.nus.edu.sg. Checked 21 October 2026.
  6. FAITH: A Framework for Assessing Intrinsic Tabular Hallucinations in Finance arxiv.org. Checked 21 October 2026.
  7. FinDeepForecast: A Live Multi-Agent System for Benchmarking Deep Research Agents in Financial Forecasting arxiv.org. Checked 21 October 2026.
  8. NUS Partners StanChart on Executive Master's Programme in AI - Fintech Singapore fintechnews.sg. Checked 21 October 2026.