Zhang, Philip Renyu(張任宇)



Prof. Philip Renyu Zhang joined The Chinese University of Hong Kong (CUHK) Business School as a visiting scholar in the Department of Department of Decision Sciences and Managerial Economics in September 2021. Prof. Zhang is also on leave from New York University Shanghai, where he has been an Assistant Professor of Operations Management and NYU Global Network Assistant Professor since August 2016. Prior to joining NYU Shanghai, he was a PhD candidate at Olin Business School, Washington University in St. Louis, where he holds a PhD in Business Administration (Operations Management). Prof. Zhang also holds a Bachelor’s degree in Mathematics from Peking University.

Prof. Zhang’s research interests are developing data-driven optimisation and randomised experiment (a.k.a. A/B testing) methodologies to evaluate and optimise the operations strategies in the contexts of online platforms and marketplaces, sharing economy, and social networks, especially their recommendation, advertising, and pricing policies. His research works have appeared in Operations Research, Manufacturing & Service Operations Management, and Production and Operations Management, and have been recognised by various research awards of the INFORMS and POMS communities.

Teaching Areas

Business Analytics
Data Science
Machine Learning
Artificial Intelligence
Operations Management

Research Interests

Reinforcement Learning
Randomised Experiment
Game Theory
Mechanism Design
Econometrics and Causal Inference

Online Platforms And Marketplaces
Sharing Economy
Social Networks
Recommender Systems
Revenue Management and Pricing
Inventory and Supply Chain Management

  • Grants
    • “Carpool Services of Online Ride-Sharing Platforms”, by the National Natural Science Foundation of China, Young Scientist Program 71802133, with RMB 180,000, 2019-2021 (Principal Investigator)
    • Shanghai Eastern Scholar, by Shanghai Municipal Education Commission, Young Scientist Program QD2018053, RMB 600,000, 2019-2021 (Principal Investigator)
    • “The Impact of Social Networks on Operations Strategies”, by the Shanghai Science and Technology Committee, Pujiang Talent Program 17PJC074, RMB 100,000, 2017-2019 (Principal Investigator)
  • Awards & Honours
    • Finalist Award, POMS College of Supply Chain Management Best Student Paper Competition, 2015
    • Honorable Mention, INFORMS Service Science Best Cluster Paper Award, 2017
    • Meritorious Service Award, Manufacturing & Service Operations Management, 2018, 2019
    • Finalist Award, INFORMS Data Mining Section Best Paper Competition, 2019
    • Finalist Award, INFORMS Revenue Management and Pricing Student Paper Competition, 2020

Wang, Jingbo (Jimbo)(汪靜波)

WANG Jingbo


Prof. Jingbo Wang is an Assistant Professor in the Department of Marketing at The Chinese University of Hong Kong (CUHK) Business School. He holds a BA in Economics from Lingnan College, Sun Yat-sen University in Guangzhou, a MA in Economics and Finance from Centro de Estudios Monetarios y Financieros (CEMFI) in Madrid, and a PhD in Economics from University of Southern California, Los Angeles. His research interests include marketing analytics, quantitative marketing, machine learning, and social network analysis.

Teaching Areas

Business Analytics
Machine Learning

Research Interests

Marketing Analytics
Quantitative Marketing
Machine Learning
Social Network Analysis

Li, Tim Tianyi(李天意)

LI Tianyi


Prof. Tianyi (Tim) Li is an Assistant Professor in the Department of Decision Sciences and Managerial Economics at The Chinese University of Hong Kong (CUHK) Business School. He holds a bachelor’s degree from Peking University, a master’s degree from Princeton University, and a PhD degree from MIT Sloan School of Management. His current research analyses the dynamics of social systems and human networks, trying to contribute modelling and algorithmic efforts to management, industrial and policy studies from a data-driven, network-oriented perspective.

Teaching Areas

Business Information Systems
Networks and Security

Research Interests

Network Sciences
System Dynamics
Industrial Engineering
Management Algorithms
Mathematical Modelling

  • Awards & Honours
    • Fellowship, MIT Sloan School of Management, 2017-2021
    • Fellowship, Princeton University, 2015-2017

Chen, Kevin Hongfan(陳泓帆)


Hongfan (Kevin) Chen is an Assistant Professor of the Department of Decision Sciences and Managerial Economics at The Chinese University of Hong Kong (CUHK) Business School. He received his PhD and MBA degrees in Operations Management from the University of Chicago Booth School of Business. Prior to Chicago Booth, he studied Industrial Engineering and Applied Mathematics at Georgie Institute of Technology. Before joining CUHK, he also had some professional experience in companies including Airbnb, Amazon, Cox Enterprises, Interface, Hewlett Packard and ABB. Professor Chen’s research primarily focuses on revenue management, platform marketplaces, and optimisation under uncertainty.

Research Interests

Revenue Management
Platform Economy
Optimisation under Uncertainty

Li, Hongfei(李鴻飛)


Prof. Hongfei Li is an Assistant Professor in the Department of Decision Sciences and Managerial Economics (DSME) at The Chinese University of Hong Kong (CUHK) Business School. Before joining CUHK, he received his PhD from the School of Business at the University of Connecticut and his BS and MS from Renmin University of China in Beijing. His current research focuses on three main streams: (i) business analytics in emerging online platforms; (ii) applications of artificial intelligence and machine learning; and (iii) statistical methodology.

Prof. Li is interested in teaching technical courses related to mathematics, statistics, econometrics, and computer language in business application, such as business analytics, web analytics, data science, machine learning, business statistics, econometrics, and database systems.

Teaching Areas

Management Information Systems
Database Management
Business Statistics

Research Interests

Business Analytics in Emerging Online Platforms
Applications of Artificial Intelligence and Machine Learning
Statistical Methodology

  • Publications & Working Papers


    Working Papers

    • Hongfei Li, Jing Peng, Gang Wang, Xue Bai, “Online Diaries and Professional Service.”
    • Hongfei Li, Jing Peng, Xinxin Li, Jan Stallaert, “When More is Less: The Effect of Add-on Insurance on the Consumption of Professional Services.”
    • Xian Cao, Timothy Folta, Hongfei Li, Ruoqing Zhu (equal contribution), “Analyzing the Online Word of Mouth Dynamics: A Novel Approach.”
  • Awards & Honours
    • 2019-2020 Department Outstanding Scholar Awardees, School of Business, University of Connecticut, 2020
    • ICIS 2019 Doctoral Consortium Member, 2019
    • PhD Program-wide Outstanding PhD Scholar Award, School of Business, University of Connecticut, 2018 & 2019
  • Academic/Professional Services

    Ad-hoc Reviewer

    • Conference on Information Systems and Technology (CIST) 2019-2020
    • International Conference on Information Systems (ICIS), 2018-2020
    • Workshop on Information Technologies and Systems (WITS), 2018

Ke, Tony T.(柯特)


Prof. Tony Ke is an Associate Professor of Marketing at The Chinese University of Hong Kong (CUHK) Business School. He received a PhD in Operations Research, an MA in Statistics and an MA in Economics from University of California at Berkeley, and a BS in Physics and a BS in Statistics from Peking University. His research is in the area of quantitative marketing, microeconomic theory and industrial organisation. His recent works focus on consumer search, online advertising and platforms, and economics of privacy, data and algorithms. His research work has been accepted for publication at Management Science, Marketing Science, Journal of Economic Theory, American Economic Journal: Microeconomics, and Production and Operations Management. He spent five years as an assistant professor at MIT Sloan School of Management before joining CUHK. He is an associate editor of Quantitative Marketing and Economics and on the editorial board of Marketing Science.

Teaching Area

Customer Relationship Management

Research Interests

Quantitative Marketing
Industrial Organisation
Microeconomic Theory

  • Awards & Honours
    • Management Science Distinguished Service Award, 2018
    • Management Science Meritorious Service Award, 2017
    • Outstanding Teaching Award, Haas School of Business, 2014

Chung, Jae Hyen


Prof. Jae Hyen Chung is an Assistant Professor in the Department of Marketing at The Chinese University of Hong Kong (CUHK) Business School. He earned his PhD in Econometrics and Statistics from the University of Chicago Booth School of Business and his Bachelor’s degree in Economics and Statistics from the University of California at Berkeley. His research interests include online consumer search, consideration set formation, and consumer learning.

Teaching Areas

Pricing Strategy
Marketing Analytics

Research Interests

Online Consumer Search
Consideration Set Formation
Consumer Learning

  • Publications & Working Papers
    • Jae Hyen Chung, Pradeep Chintagunta, and Sanjog Misra, “Estimation of Sequential Search Models,” Under Review.
    • Jae Hyen Chung, Pradeep Chintagunta, and Sanjog Misra, “Inferring Automobile Market Structure from Consumer Search,” Working Paper.
  • Awards & Honours
    • PhD Fellowship, University of Chicago Booth School of Business, 2013-2016
    • The Katherine Dusak Miller PhD Fellowship, University of Chicago Booth School of Business, 2016-2017
    • Eugene F. Fama PhD Fellowship, University of Chicago Booth School of Business, 2017-2018

Wu, Jing(吳靖)


Prof. Jing Wu is an Assistant Professor in the Department of Decision Sciences and Managerial Economics at The Chinese University of Hong Kong (CUHK) Business School. He graduated from Tsinghua University with a bachelor’s degree in Electronic Engineering, and received his MBA and PhD from the University of Chicago Booth School of Business. His main research fields are the operations-finance interface, global supply chains, FinTech, and business intelligence. His papers are published in leading journals such as Management Science, M&SOM, and POMS. His articles appear in magazines such as MIT Sloan Management Review, the Economist, and Forbes. His quantitative findings on the supply chain impact of COVID-19 and Trade War are covered by 400+ media in 20+ countries globally. Prior to academia, he worked as a Quantitative Strategist at Deutsche Bank New York.

Teaching Areas

Business Intelligence

Research Interests

Operations-Finance Interface
Global Supply Chains
Economic Networks
FinTech Applications
Business Intelligence

  • Grants
    • “Labor Skills on Firm Performance: A Study from Unstructured Online Job Postings”, HK$406,000, Principal Investigator, 2020-2021
    • “Supply-Chain Coordination of Human Capital Investment”, HK$502,490, Co-Investigator, 2020-2021
    • Start-up Fund awarded by The Chinese University of Hong Kong, 2019-2022
    • Start-up Fund awarded by City University of Hong Kong, 2016-2019
    • Sidney Davidson Doctoral Fellowship awarded by Chicago Booth, 2015-2016
    • John and Serena Liew Fellowship awarded by Chicago Booth, 2014-2015
    • Fama-Miller Center Grant for Research in Finance awarded by Chicago Booth, 2014-2015
    • Chicago Booth Doctoral Fellowship awarded by Chicago Booth, 2011-2015
  • Academic/Professional Services
    • Reviewer for Management Science, Manufacturing & Service Operations Management, Production and Operations Management, Journal of Operations Management, and Information Systems Research

Chan, David(陳柏桓)


Prof. David Chan currently serves as Director and Professor of Hotel and Tourism Management at the Chinese University of Hong Kong. He has over 30 years’ extensive hotel experience with Peninsula, Regent, Marriott and Hyatt with several senior international assignments. He had been the General Manager of Grand Hyatt Guangzhou since 2009 and later the Area Vice President of Hyatt International, also overseeing Park Hyatt Guangzhou, Hyatt Regency Chongqing, Hyatt Regency Dongguan, Hyatt Regency Guiyang, Park Hyatt Sanya Sunny Bay, Grand Hyatt Sanya Haitang Bay, and the pre-opening of Andaz Sanya Sunny Bay.

Prof. Chan obtained his PhD in Tourism Management from Sun Yat-Sen University. Prior to that, he completed a Master of China Law (LLM) in Jinan University and Advanced Management Programme from the School of Hotel Administration at Cornell University. He also holds a BBA degree from the School of Travel Industry Management, University of Hawaii at Manoa.

Expertise Areas

Hospitality and Tourism Management
Convention and events Management
Food and Beverage Management
Global Hotel & Resort Operations
Smart Tourism & Innovation
Hospitality Marketing
Hotel Business Analytics & Financial Evaluation
Hotel Asset and Portfolio Management

  • Academic/Professional Services

    Public Services

    • President of Greater China, International Association of Hotel General Managers, 2019-Present
    • Vice President, China Real Estate Chamber of Commerce, 2016-Present
    • Senior Advisor, Hong Kong Chamber of Commerce, Guangdong, 2015 to Present
    • Member, The Federation of Hong Kong Hotel Owners, 2018-Present
    • Vice President, Dongguan City Association of Enterprises with Foreign Investment, 2008-Present
    • Member, United Nations ESCAP Business Advisory Council, 2015-2017
    • Executive Director, Guangzhou Hotel Association, 2009-2017


    • Member. American Real Estate and Urban Economics Association
    • Member, American Real Estate Society
    • Member, International Council on Hotel, Restaurant, and Institutional Education
    • Member, American Economic Association
    • Board Director, Asian Real Estate Society
    • Board Director, Global Chinese Real Estate Congress
    • President-Elect 2023, International Real Estate Society