National University of Singapore

Ke-Wei Huang

Executive Director, Asian Institute of Digital Finance
Associate Professor, Department of Information Systems & Analytics, NUS School of Computing

Research at the intersection of artificial intelligence and social science, with emphasis on machine learning for social science methods, data mining in finance, AI/IT entrepreneurship, AI/IT labor economics, and pricing for digital goods.

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Current Roles

Executive Director
Asian Institute of Digital Finance

AI and Finance Area Lead
NUS AI Institute

Founding Program Director
Executive Master in AI and Digital Transformation

About & Academic Leadership

My research focuses on how modern AI and machine learning can improve the measurement, prediction, and empirical methods used in social science and finance, as well as how digital technologies reshape firms, labor markets, entrepreneurship, and pricing.

Current Academic Roles

2023 - Present
Executive Director
Asian Institute of Digital Finance, NUS
2016 - Present
Associate Professor
Department of Information Systems & Analytics, School of Computing, NUS
2024 - Present
AI and Finance Area Lead
NUS AI Institute (NAII)
2024 - Present
Founding Program Director
Executive Master in AI and Digital Transformation

Prior Academic Appointments

2020 - 2023
Assistant Dean of Graduate Studies
School of Computing, NUS
2007 - 2016
Assistant Professor
Information Systems, NUS; joint appointment with FASS Economics, 2007-2009
2020 - 2022
Founding Program Director
PhD in Digital Financial Technology
2020 - 2024
Founding Program Director
MSc in Digital Financial Technology
2019 / 2020
Visiting Scholar
HKUST / University of Washington
2012 - 2018
IS PhD Program Coordinator
National University of Singapore

Education

Ph.D.
NYU Stern School of Business
Information, Operations, and Management Sciences, 2002-2007
Advisor: Roy Radner
Committee: Arun Sundararajan, Anindya Ghose
M.S.
NYU Stern School of Business
Information Systems, 2001-2002
M.B.A.
National Taiwan University
Finance, 1995-1997
B.S.
National Taiwan University
Electrical Engineering, 1991-1995
Recruiting

PhD Students and Research Fellows

I am open to recruiting strong PhD students and Research Fellows for research in AI, machine learning, digital finance, and computational social science. I particularly welcome candidates with a Computer Science background and a strong publication track record in relevant AI/ML/NLP/data mining areas. Interested candidates may email a CV, research statement, and representative papers.

Research & Publications

Research Interests

  • Machine Learning for Improving Social Science Research Methods
  • Data Mining and Artificial Intelligence in Finance
  • AI/IT Entrepreneurship
  • AI/IT Labor Economics
  • Pricing for Digital Goods and Digital Services

Research Pipeline

  • Financial NLP
  • Conformal Prediction and CRC Applications in Finance
  • AI and Credit Risk
  • AI and Real Estate
  • LightGBM Improvements

My research interests and publication record span AI/ML methods for social science, digital finance, entrepreneurship and labor economics, and digital markets. Publications are organized into journal articles, Computer Science and AI conference/workshop papers, and other conference/workshop papers. Use the search and year filter to browse quickly; journal and CS/AI papers include Google Scholar searches by exact title.

Journal Publications (18) Computer Science & AI Conferences (10) Other Conferences & Workshops (55)

Journal Publications

18 articles, including accepted papers
AcceptedGoogle Scholar

Detecting and Correcting Estimation Bias Caused by Content Deletion in User-generated Content Studies

Qinglai He, Mengke Qiao, and Ke-Wei Huang
Accepted at MIS Quarterly(UTD24)
AcceptedGoogle Scholar

Correcting the Unobserved Textual Confounding Factors in Regression by BERT and Partially Linear Regression

Mengke Qiao and Ke-Wei Huang
Accepted at Management Science(UTD24)
2025Google Scholar

Correcting Measurement Error in Regression Models with Variables Constructed from Aggregated Output of Data Mining Models

Mengke Qiao and Ke-Wei Huang
MIS Quarterly(UTD24), Vol. 49 (1), p.29-60
2024Google Scholar

Investigating Employees' Occupational Risks and Benefits Resulting from Artificial Intelligence: An Empirical Analysis

Xuanqi Liu, Qi Wang, and Ke-Wei Huang
Information & Management, Vol.61 (8), p.104036
2024Google Scholar

Controlling Homophily in Social Network Regression by Neural Networks

Xuanqi Liu and Ke-Wei Huang
INFORMS Journal on Computing(UTD24), Vol.37 (3), p. 684 - 702
2023Google Scholar

Handling Missing Values in Information Systems Research: A Review of Methods and Assumptions

Jiaxu Peng, Jungpil Hahn, and Ke-Wei Huang
Information Systems Research(UTD24), Vol. 34 (1), p.5-26
2021Google Scholar

Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining

Mengke Qiao and Ke-Wei Huang
Information Systems Research(UTD24), Vol. 32 (2), p.462-480
2020Google Scholar

Platform Skills and the Value of New Hires in the Software Industry

Chunmian Ge, Ke-Wei Huang, and Atreyi Kankanhalli
Research Policy, Vol. 49 (1), 103864
2016Google Scholar

Pricing Data Services: Pricing by Minutes, by Gigs, or by Mega Bytes per Second?

Ying-Ju Chen and Ke-Wei Huang
Information Systems Research(UTD24), Vol. 27 (3), p.596-617
2016Google Scholar

Engineer/Scientist Careers: Patents, Online Profiles, and Misclassification Bias

Chunmian Ge, Ke-Wei Huang, and Ivan Png
Strategic Management Journal(UTD24), Vol. 37 (1), p.232-253
2015Google Scholar

Investigating the Determinants of Starting Salary of IT Graduates

Chunmian Ge, Atreyi Kankanhalli, and Ke-Wei Huang
DATA BASE for Advances in Information Systems, Vol. 46 (4), p.9-25
2015Google Scholar

Leveraging Location-Based Services for Couponing and Infomediation

Xiao Zou and Ke-Wei Huang
Decision Support Systems, Vol. 78 (10), p.93-103
2014Google Scholar

Analyzing the Scale Economies of Software-as-a-Service Software Firms: A Stochastic Frontier Approach

Chunmian Ge and Ke-Wei Huang
IEEE Transactions on Engineering Management, Vol. 61 (4), p.610-622
2014Google Scholar

Hierarchical Screening for Capacity Allocation in Supply Chains: The Role of Distributors

Ying-Ju Chen, Mingcherng Deng, and Ke-Wei Huang
Production and Operations Management(UTD24), Vol. 23 (3), p.405-419
2011Google Scholar

Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure

Ke-Wei Huang and Arun Sundararajan
Information Systems Research(UTD24), Vol. 22 (4), p.721-738
2011Google Scholar

A Multi-Label Text Classification Algorithm for Labeling Risk Factors in SEC Form 10-K

Ke-Wei Huang and Zhuolun Li
ACM Transactions on MIS, Vol. 2 (3), p.18:1-18:19
2009Google Scholar

Personalized Pricing and Quality Customization

Anindya Ghose and Ke-Wei Huang
Journal of Economics and Management Strategy, Vol. 18 (4), p.1095-1135
2009Google Scholar

Optimal Criteria for Selecting Price Discrimination Metrics when Buyers have Log-Normally Distributed Willingness-to-Pay

Ke-Wei Huang
Quantitative Marketing and Economics, Vol. 7 (3), p.321-341
No matching journal publications.

Computer Science & AI Conference / Workshop Papers

10 papers
2026Google Scholar

Findeepforecast: A live multi-agent system for benchmarking deep research agents in financial forecasting

Xiangyu Li, Xuan Yao, Guohao Qi, Fengbin Zhu, Kelvin JL Koa, Xiang Yao Ng, Ziyang Liu, Xingyu Ni, Chang Liu, Yonghui Yang, Yang Zhang, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Xiaofen Xing, Xiangmin Xu, Tat-Seng Chua, Ke-Wei Huang
EMNLPEmpirical Methods in Natural Language Processing (EMNLP) Main Conference 2026, Budapest, Hungary. (Out of 17669 papers submitted, 2719 accepted to the Main Conference, 15.4% acceptance rate)
2026Google Scholar

QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples

Mengao Zhang, Xiang Yang, Chang Liu, Tianhui Tan, Ke-wei Huang
EMNLPFindings of Empirical Methods in Natural Language Processing (EMNLP) 2026, Budapest, Hungary. (Out of 17669 papers submitted, 2533 accepted to Findings, 14.3% acceptance rate)
2026Google Scholar

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance

Jiaze Sun, Kelvin J.L. Koa, Ni Ruiyang, Liu Yize, Haonan Chen, Ke-Wei Huang
KDDOral Presentation at SIGKDD Main Conference 2026, Jeju, South Korea. (Out of 466 papers submitted, 153 accepted, and only 21 oral presentation)
2026Google Scholar

The Proxy Presumption: From Semantic Embeddings to Valid Social Measures

Baishi Li, Ta Yu, Kelvin J.L. Koa, and Ke-Wei Huang
ACLOral presentation at ACL 2026 Main Conference, San Diego, USA. (Senior Area Chair Highlight Award Paper, 12,148 submissions and 19% of the submissions as Main papers.)
2026Google Scholar

From 10-K to Industry Multi-Labels: A Bottom-Up LLM-Driven Product Clustering with Pareto Frontier Analysis

Zihao Huang, Joel Queh, and Ke-Wei Huang
IEEE Conference on Artificial Intelligence (CAI) 2026, Granada, Spain
2026Google Scholar

Fin-Agent-QG: A Collaborative Multi-Agent Framework for Higher-Order Cognitive and Difficulty-Aware Financial Exam Question Generation

Xuan Yao, Zhou Yi, Qu Xiaoyu, Lyu Lulin, Zhang Zefan, Wong Zhi Heng Zac, Ke-Wei Huang
AAAI Workshop on Agentic AI in Financial Services, 2026, Singapore
2025Google Scholar

FinDDR:Financial Deep Document Research Challenge

Fengbin Zhu, Chao Wang, Chang Liu, Shuo Zhang, Ke-Wei Huang, Huanbo Luan, and Tat-Seng Chua
Data Competition at ACM International Conference on AI and Finance 2025, Singapore, Singapore
2025Google Scholar

Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark Study

Xuan Yao, Qianteng Wang, Xinbo Liu, and Ke-Wei Huang
The 2nd Workshop on LLMs and Generative AI for Finance 2025 (ACM International Conference on AI and Finance), Singapore, Singapore. (Oral Presentation, 10 out of 80 accepted. 12.5% acceptance rate)
2025Google Scholar

FAITH: A Framework for Assessing Intrinsic Tabular Hallucinations in Finance

Mengao Zhang, Jiayu Fu, Tanya Warrier, Yuwen Wang, Tianhui Tan, and Ke-Wei Huang
ACM International Conference on AI and Finance 2025, Singapore, Singapore. (Oral Presentation. 15.5% acceptance rate out of 349 Submissions.)
2023Google Scholar

Constructing ESG Risk Scores of U.S. Firms by Text Mining

Ta Yu, Xuanqi Liu and Ke-Wei Huang
AAAI Symposium (Fintech) 2023, Singapore
No matching CS/AI publications.

Other Conference / Workshop Papers

55 papers
2026

Corporate Default Prediction Through Text Mining: Integrating Event, Sentiment, and Network Analyses

Xuan Yao, Yating Su, Tianhui Tan and Ke-Wei Huang
Hawaii International Conference on System Sciences (HICSS) 2026, Maui, USA
2024

Enhancing Industry Classification with LLM-Aided Multi-View Graph Clustering

Joel Queh and Ke-Wei Huang
WITS 2024, Bangkok, Thailand
2024

Advancing Credit Risk Forecasting: Multi-Horizon Default Prediction Using Sequential LightGBM Models

Jingyi Zhan, Tianhui Tan, and Ke-Wei Huang
WITS 2024, Bangkok, Thailand
2023

Unveiling Competition Characteristics from Annual Reports: A ChatGPT-Driven Q&A Approach for Aspect Extraction

Joel Queh and Ke-Wei Huang
WITS 2023, Hyderbad, India
2023

Text-Based Technological Risk and Firm Innovation: An Empirical Analysis

Xuanqi Liu, Qi Wang, and Ke-Wei Huang
CSWIM 2023, Changsha, China
2022

Exploring the Effects of Technological Proximity to Venture Capitalists on the Performance of AI Start-ups

Qi Wang, Ke-Wei Huang and Giri Kumar Tayi
WITS 2022, Copenhagen, Denmark
2022

Correcting Estimation Bias Caused by Platform Content Moderation or User Self-Deletion

Mengke Qiao, Qinglai He, and Ke-Wei Huang
WITS 2022, Copenhagen, Denmark
2021

Impression Management by Data Visualization: Evidence from Graphs in Earnings Conference Call Slides

Ta Yu and Ke-Wei Huang
WISE 2021, Austin, USA
2021

Generalist Leaders, Specialized Subordinates - An Ensemble Learning Approach for Bankruptcy Prediction

Jian Hong (Joel) Quek and Ke-Wei Huang
ICIS 2021, Austin, USA
2021

Correcting Measurement Error Bias in Aggregate-Level Regression Models with Individual-Level Data Mining

Mengke Qiao and Ke-Wei Huang
Decision Science Institute Annual Conference 2021
2021

Correcting the Unobserved Confounding Bias by Partial-DNN and Text Embedding

Mengke Qiao and Ke-Wei Huang
WITS 2021 (Best Paper Nominee) and SCECR 2021
2019

Displaced or Augmented? How Does Artificial Intelligence Affect Our Jobs: Evidence from LinkedIn

Qi Wang, Xuanqi Liu, and Ke-Wei Huang
ICIS 2019, Munich, Germany (also in CSWIM 2019, Shenzhen, China)
2019

Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test

Mengke Qiao, Xuanqi Liu, and Ke-Wei Huang
SCECR 2019, Hong Kong and INFORMS Data Science Workshop 2019, Seattle, USA
2018

Optimal Classification Performance Metric for Constructing Variables for Further Regression Analysis

Mengke Qiao and Ke-Wei Huang
WITS 2018, San Jose, USA
2018

Exploring the FinTech Jobs-Skills Fit of Financial and Information Technology Professionals: Evidence from LinkedIn

Qi Wang and Ke-Wei Huang
ICIS 2018, San Francisco, USA
2018

Hierarchical Accounting Variables Forecasting by Deep Learning Methods

Mengke Qiao and Ke-Wei Huang
ICIS 2018, San Francisco, USA (Best Paper Nominee)
2017

A Semiparametric Missing Value Imputation Approach for Predictive Analytics

Jiaxu Peng and Ke-Wei Huang
WITS 2017, Seoul, South Korea
2017

Predicting Exercise Behavior in Fitness Applications: A Multi-Group Study

Zhou Ya, Atreyi Kankanhalli, and Ke-Wei Huang
ICIS 2017, Seoul, South Korea
2017

Does IT Help Firms to Become More Entrepreneurial?: The Role of Enterprise IT

Sangwook Ha, Atreyi Kankanhalli, and Ke-Wei Huang
ICIS 2017, Seoul, South Korea
2017

Hiring of Foreign Tech Professionals: An Absorptive Capacity Explanation

Sangwook Ha, Atreyi Kankanhalli, and Ke-Wei Huang
CIST/INFORMS 2017, Houston, USA
2016

Effects of Fitness Applications with SNS: How Do They Influence Physical Activity

Ya Zhou, Atreyi Kankanhalli, and Ke-Wei Huang
ICIS 2016, Dublin, Ireland
2016

Does Social Media Marketing Really Work for Online SMEs?: An Empirical Study

Sangwook Ha, Atreyi Kankanhalli, Jai Kishan, and Ke-Wei Huang
ICIS 2016, Dublin, Ireland
2016

Absorptive Capacity and Hiring of Foreign Tech Professionals: Evidence from U.S. Semiconductor Firms

Sangwook Ha, Atreyi Kankanhalli, and Ke-Wei Huang
Annual Meeting of the Academy of Management (AOM 2016; TIM Division), Anaheim, USA
2015

Gamification in Fitness Apps: How Do Leaderboards Influence Exercise?

Yue Wu, Atreyi Kankanhalli, and Ke-Wei Huang
ICIS 2015, Fort Worth, USA
2015

The Monetary Value of Twitter Followers: Evidence from NBA Players

Zhuolun Li and Ke-Wei Huang
CSWIM 2015, Hefei, China
2015

The Making of Entrepreneurs from the IT Industry: Evidences from a Quasi Experiment with a Finite Mixture Model

Qing Chen, Ke-Wei Huang, and Cheng Suang Heng
CSWIM 2015, Hefei, China (Best Paper Nominee)
2014

IT Investment: The Unexpected Effects on Entrepreneurial Spawning

Qing Chen, Ke-Wei Huang, and Cheng Suang Heng
ICIS 2014, Auckland, New Zealand
2014

The Monetary Value of Twitter Followers: Evidence from NBA Players

Zhuolun Li and Ke-Wei Huang
ICIS 2014, Auckland, New Zealand
2014

Mobility of Scientists and Engineers: LinkedIn vis-à-vis patent records

Chunmian Ge, Ke-Wei Huang, and Ivan Png
Roundtable for Engineering Entrepreneurship Research (REER) 2014. Atlanta, USA
2013

Optimal Pricing and Capacity Planning for Information Technology Service Provider under Service-Level Agreement

Xiao Zou and Ke-Wei Huang
ICIS 2013, Milan, Italy
2013

Misclassification Bias in Patent Measures: Estimation and Applications

Chunmian Ge, Ke-Wei Huang, and Ivan Png
Asian Meeting of the Econometric Society AMES 2013, Singapore
2013

Do Economic Recession and Gender Influence the Likelihood of Entry Job in IT for IT Graduates?

Chunmian Ge, Atreyi Kankanhalli, Ke-Wei Huang and Xiqing Sha
ACM SIGMIS CPR 2013, Cincinnati, USA
2013

Optimal Pricing and Capacity Planning for Information Technology Service Provider under Service-Level Agreement

Xiao Zou and Ke-Wei Huang
Frontiers in Service Conference 2013, Taipei, Taiwan
2013

Mobility of Scientists and Engineers: LinkedIn vis-à-vis patent records

Chunmian Ge, Ke-Wei Huang, and Ivan Png
Research Workshop in Entrepreneurship & Innovation 2013, Singapore
2012

Quantifying the Impact of Gamification on User Engagement in Online Q&A Communities

Zhuolun Li, Ke-Wei Huang, and Huseyin Cavusoglu
WISE and ICIS 2012, Orlando, USA
2015

Can gamification motivate voluntary contributions? The case of StackOverflow Q&A community

Cavusoglu, Huseyin, Zhuolun Li, and Ke-Wei Huang
Proceedings of the 18th ACM conference on Computer Supported Cooperative Work & Social Computing. 2015, New York, USA
2012

The Impacts of Human Capital on the Value Creation by Mergers and Acquisitions: An Event Study in Software Industry

Chunmian Ge and Ke-Wei Huang
ICIS 2012, Orlando, USA
2012

A Model on Location-Based Service as Infomediary

Xiao Zou and Ke-Wei Huang
ICEC 2012, Singapore (Best Student Paper Nominee)
2011

Exploring the Correlation between Operational and Financial Software Business Risks by Quantifying Risk Factors in Annual Reports

Ke-Wei Huang
WISE 2011, Shanghai
2011

Evaluating the Impacts of Auction Bidding Restrictions on Consumer Surplus and Behaviors - An Empirical Study of Penny Auctions

Hanxiong Zheng, Khim Yong Goh, and Ke-Wei Huang
ICIS 2011, Shanghai, China (Best Paper Nominee)
2011

R&D and Catch-Up Effect Among Software-as-a-Service Firms: A Stochastic Frontier Approach

Chunmian Ge and Ke-Wei Huang
ICIS 2011, Shanghai, China
2011

Firm-Level Inventory Performance and 10-K Inventory Risk Factors During the Financial Meltdown

Ying-Ju Chen and Ke-Wei Huang
INFORMS 2011, Charlotte, USA
2011

Evaluating the Impacts of Auction Bidding Restrictions on Consumer Surplus and Behaviors - An Empirical Study of Penny Auctions

Hanxiong Zheng, Khim Yong Goh, and Ke-Wei Huang
INFORMS 2011, Charlotte, USA
2011

Evaluating the Impacts of Auction Bidding Restrictions on Consumer Surplus and Behaviors - An Empirical Study of Penny Auctions

Hanxiong Zheng, Khim Yong Goh, and Ke-Wei Huang
CSWIM 2011, Harbin, China
2011

R&D and Catch-Up Effect Among Software-as-a-Service Firms: A Stochastic Frontier Approach

Chunmian Ge and Ke-Wei Huang
PACIS 2011, Brisbane, Australia
2010

Who Makes the Law? Political Economy Analysis and Evidence from Copyright Levies

Ke-Wei Huang and Ivan Png
Society for the Advancement of Economic Theory, SAET 2010, Singapore
2009

Pricing Data Services: Pricing by Minutes, by Gigs, or by Mega Bytes per Second?

Ying-Ju Chen and Ke-Wei Huang
WISE 2009, Phoenix, USA
2009

Firm-Level Productivity Analysis for Software-as-a-Service Companies

Ke-Wei Huang and Mengqi Wang
ICIS 2009, Phoenix, USA
2008

Software Executives' Optimal R&D Expense and Pricing Decisions in a Risky Market

Ke-Wei Huang
WISE 2008, Paris, France
2006

Pricing Digital Goods: Discontinuous and Declining Costs

Ke-Wei Huang and Arun Sundararajan
CIST/INFORMS 2006, Pittsburgh, PA
2006

Pricing Models for On-Demand Computing

Ke-Wei Huang and Arun Sundararajan
INFORMS 2006, Pittsburgh, PA
2005

Versions and Successive Generations: An Empirical Analysis of Pricing and Product Line Strategies in Software Markets

Anindya Ghose, Ke-Wei Huang, and Arun Sundararajan
CIST/INFORMS 2005 and Marketing Science 2006, Pittsburgh, PA
2005

Optimal and Equilibrium Price Discrimination Metrics for Digital Goods

Ke-Wei Huang and Roy Radner
WISE 2005, Irvine, CA
2005

A Competitive Analysis of Personalized Pricing with Quality Customization

Ke-Wei Huang and Anindya Ghose
WISE 2005, Irvine, CA
2005

Impact of CRM Technologies on Firm Profits: A Competitive Analysis of Personalized Pricing and Quality Customization

Ke-Wei Huang and Anindya Ghose
CRM Workshop 2005, New York, NY
No matching conference publications.

Research Grants & Honors

Major Academic Grants

Total Listed Academic Research Grant Funding
Totals shown by original grant currency; no exchange-rate conversion.
S$14,181,580 + US$507,500
S$7.368M
NUS AIDF Phase 2 Grant
2026 | Principal Investigator
S$4.640M
Singapore MAS AIDF Research Grant
2023 | Principal Investigator | Smart Credit Risk Assessment
S$1.965M
Singapore NRF AIDF Research Grant
2020 | Principal Investigator
2026
PI NUS AIDF Phase 2 Grant
S$7,368,000
2026
Co-I NUS AI Institute
Next-Generation AI Infrastructures for Science and a Smart Nation (Lead PI: Assistant Professor Lu Yao)
S$200,000
2026
PI NUS-Warwick Collaboration Seed Grant
Seeing the Market: Multimodal Generative AI for Real Estate Intelligence and Decision-Making (with Ram Gopal and Ding Yi)
S$8,450
2023
PI Singapore MAS Asian Institute of Digital Finance Research Grant
Smart Credit Risk Assessment (taken over from PI Prof. Duan Jin-Chuan)
S$4,640,130
2020
PI Singapore NRF Asian Institute of Digital Finance Research Grant
Extracting and Scoring the Reasoning and Prediction of Financial Experts' Comments from Textual Information
S$1,965,000
2018
PI NUS Research Grant
Computer Vision for Automating Regression Diagnostic Tests
US$50,000
2017
PI NUS Institute of Data Science Grant
The Singapore Smart Visual Checkpoint for Global Talents
US$120,000
2015
PI NUS Research Grant
Analyzing IT Entrepreneurs Spawning by Web Data
US$97,000
2013
PI NUS Research Grant
Human Capital Analytics based on Professional Social Networking Dataset
US$115,000
2010
PI NUS Research Grant
Examining the Impacts of Enterprise Software Innovations by Quantifying Technology News
US$76,000
2007
PI NUS Startup Grant
Optimal Pricing Metrics for Telecommunication and Network Industries
US$45,000
2006
Co-PI Net Institute Summer Grant
with Arun Sundararajan
US$4,500

Industry Research Grants

Total Listed Industry Research Grant Funding
Individual industry grant amounts are intentionally not displayed.
US$600,000 + S$25,000
Manulife Insurance Company
2026 | PI
Ranking Portfolio Ideas
Prudential Global Investment Management (PGIM)
2026 | Co-PI
Real Estate Investment Analytics
Development Bank of Japan
2026 | PI
Automated LLM Financial Reporting
FWD Insurance Company
2025 | PI / co-PI team
Sales KPI Dashboard with LLM automated reporting

Honors & Awards

  • 2026 - ACL Senior Area Chair Highlight Award with Baishi Li, Ta Yu, and Kelvin Koa
  • 2021 - WITS Best Paper Nominee with Mengke Qiao
  • 2018 - ICIS Best Paper Nominee with Mengke Qiao
  • 2016 - Annual Faculty Teaching Excellence Award NUS-level
  • 2013, 2014, 2016 - Annual Faculty Teaching Excellence Award School of Computing level
  • 2015 - CSWIM Best Paper Nominee with Qing Chen and Cheng Suang Heng
  • 2012 - ICEC Best Student Paper Nominee student: Xiao Zou
  • 2011 - ICIS Best Paper Nominee with Hanxiong Zheng and Khim Yong Goh
  • 2007 - ACM SIGMIS Doctoral Dissertation Award Runner-up
  • 2006 - Stern Fellowship of Excellence 1 of 3 PhD students at Stern, NYU
  • 2006 - Cambridge University Entrepreneurs Business Creation Competition First place, MARGO Technologies

Teaching & Advising

Teaching Experience

  • "Strategic Applications of Generative AI for Executives", Executive Master in AI (26)
  • "Capstone Project for FinTech" Master, Digital Financial Technology (22-24)
  • "Machine Learning for Finance" Master, Digital Financial Technology (22-26)
  • "Risk Analytics for Financial Services" Undergraduate, Business Analytics (20-21)
  • "Hands-on with Business Analytics" Master, Business Analytics (21-22)
  • "Online FinTech and Digital Business" Undergraduate, NUS SCALE (21-22)
  • "Decision Making Technologies" Master, Business Analytics (17-19)
  • "Machine Learning for Economic Forecasting" Master, Economics (18-19)
  • "Search Engine Optimization and Analytics" Undergraduate, Business Analytic (16-18).
  • "Business and Finance IT Management" Master of Technology in Leadership (17-18)
  • "Customer Data Analytics" STMI Training Class (16)
  • "Capstone Projects for Business Analytics," Undergraduate, Information Systems (15).
  • "Mobile and Ubiquitous Commerce," Undergraduate, Information Systems (11 to 16).
  • "Telecoms and International Networks," Master, Information Systems (07 to 14).
  • "E-Commerce and B2C Applications," Undergraduate, Information Systems (10).
  • "Financial Markets and Portfolio Management," Master, Economics (08-09)
  • "Computer Based Systems for Management Support," Undergraduate, Stern, NYU (06)

Major Data Competition Results

2020 Adobe Analytics Challenge: Ranked #6 out of 1,600 teams; mentor for Team Pegasus-NUS.

2018 KDD Cup: Ranked #15 out of 669 teams.

PhD Students Graduated & Placement at Graduation

Assistant Professor, South China University of Technology
Xiao Zou (2015)
Data Scientist, SingTel
Zhuolun Li (2016)
Research Fellow, Singapore Management University
Qing Chen (2016)
Assistant of Chairman, China Insurance Investment Fund
Assistant Professor, BNU-HKBU United International College
Assistant Professor, University of Science and Technology of China
Qi Wang (2022)
Assistant Professor, City University of Hong Kong
Xuanqi Liu (2024)
Assistant Professor, Hunan University, China
Shuping Li (2025)
Research Fellow, National University of Singapore
Joel Queh (2026)
Lecturer, Nanyang Technological University
Ta Yu (2026)
Assistant Professor, National Chengchi University

Academic Service & Talks

Editorial Roles

  • Associate Editor: Decision Sciences (2026-present); Communications of the Association for Information Systems (2025-present)
  • Senior Editor: AIS Transactions on Replication Research (2024-2025)
  • Ad-hoc Associate Editor: MIS Quarterly Special Issues (2019, 2022)
  • Special Issue Editor: Electronic Markets - Contemporary Research in Financial Technology

Conference Leadership

  • ICIS 2026: Hackathon Chair
  • ACM AI and Finance 2025: Workshop Chair
  • International Conference on Financial Technology 2024: Program Committees Chair
  • ICIS: Track Chair (2021, 2025); Associate Editor in multiple years
  • PACIS: Doctoral Consortium Chair (2023); Track Chair (2015, 2020, 2021, 2024)

Review & Community Service

  • NUS Research Council Expert Panel, EP2 Information & Mathematics Cluster (2016-present)
  • External reviewer: Research Grants Council of Hong Kong (2016-2022); SG Enterprise (2025-2026)
  • CS conference reviewer: NeurIPS; EMNLP FinNLP workshop
  • Journal reviewer for leading IS, management science, operations, and engineering journals

Selected Recent Invited Talks

Academic

Warwick PropTech Conference (2025); NeXT Workshop (2024); International Conference on FinTech (2024); ETH Zurich FinsureTech Conference (2024); NYU and University of Minnesota (2020).

Industry

PayPal (2025); IDC Asian Financial Services Congress (2025); GARP Panel (2025); Japan Fintech Festival (2025); Marsh Insurance (2024); MAS (2016).

Executive / Education

NCU and SFI Taiwan (2025); FJU EMBA (2025); SKKU EMBA (2025); East China Normal University (2024); Tsinghua Xueshuo (2024); Mizuho Bank training (2024).

Professional Experience

Earlier non-academic professional experience is listed here for completeness.

2006
Co-founder
MARGO Technologies, Cambridge, UK
2000 - 2001
Software Developer
Computer Associates Ltd., Taipei, Taiwan
1999 - 2000
Full-Time Research Assistant
Economics Department, National Taiwan University; Professor Chung-Ming Kuan
1997 - 1999
Financial Information Officer, Second Lieutenant
Finance Center, Defense Ministry, Taiwan (required military service)