This page contains a more detailed description of me. Here is my Curriculum Vitae.
Education
Ph.D. in Business Administration (Operations Management), 08/2011-05/2016.
---Dissertation: Dynamic Pricing and Inventory Management: Theory and Applications (advised by Nan Yang and Fuqiang Zhang) [Defense Slides].
Master of Science in Business Administration (Operations Management), 05/2014.
Bachelor of Science in Mathematics, 09/2007-07/2011.
---Thesis: Recent Development in Health-Care Operations (advised by Ke Liu).
High-School Diploma in Science, 09/2001-06/2007.
Academic Employment
Associate Professor (with tenure), Since 09/2022.
Visiting Associate Professor, 09/2021-08/2022.
Visiting Scholar, Since 07/2022.
Assistant Professor of Operations Management, 09/2016-06/2022.
NYU Global Network Assistant Professor, 07/2017-06/2022.
Visiting Assistant Professor of Operations Management, 06/2017-06/2022.
Teaching Assistant, 09/2012-12/2015.
Non-academic Employment
Kwai, Economist Group
Economist & Tech Lead, Since 12/2018.
Parttime Scientist, 09/2017-08/2018.
Parttime Consultant, 10/2013-06/2015.
Invited Seminars
- Shanghai Jiao Tong University, Antai College of Economics and Management, May 2024, Shanghai, China.
- All Saints Music, March 2024, Shenzhen, China.
- Arizona State University, Carey Business School, December 2023, Tempe, AZ.
- McGill University, Desautels Faculty of Management, November 2023, Virtual.
- Arizona State University, Carey Business School, October 2023, Tempe, AZ.
- Fudan University, School of Management, October 2023, Shanghai, China.
- The University of Hong Kong, HKU Business School, September 2023, Hong Kong, China.
- Southeast University, School of Economics and Management, August 2023, Virtual.
- Kuaishou Technology, June 2023, Beijing, China.
- University of Miami, Miami Herbert Business School, June 2023, Miami, FL.
- Tencent WXG, April 2023, Guangzhou, China.
- National University of Singapore, NUS Business School, Department of Analytics & Operations, March 2023, Singapore.
- Chinese University of Hong Kong Shenzhen, School of Management and Economics, March 2023, Shenzhen, China.
- Chinese Young Statistician Forum Online Seminar, February 2023, Virtual (Video in Chinese).
- City University of Hong Kong, the College of Business, November 2022, Hong Kong, China.
- Club Bear Online Seminar, October 2022, Virtual.
- New York University Shanghai, October 2022, Shanghai, China.
- Academia Cafe Online Workshop, October 2022, Virtual.
- Tsinghua University, School of Economics and Management, October 2022, Virtual.
- Peking University, Guanghua School of Management, September 2022, Virtual.
- CUHK Business School GRF/ECS Info-Sharing Session, September 2022, Virtual.
- New York University, the Leonard N. Stern School of Business, September 2022, Virtual.
- CUHK Business School PhD Recruitment Workshop, July 2022, Virtual.
- West China Medical Center, June 2022, Chengdu, China.
- Sichuan University, School of Business, May 2022, Chengdu, China.
- National University of Singapore, NUS Business School, Department of Analytics & Operations, February 2022, Virtual.
- National University of Singapore, Department of Industrial Systems Engineering and Management, January 2022, Virtual.
- The University of Toronto, Rotman School of Management, January 2022, Virtual.
- Nanjing University, School of Management and Engineering, November 2021, Nanjing, China.
- Tsinghua University, Department of Industrial Engineering, July 2021, Beijing, China.
- Hong Kong University of Science and Technology, HKUST Business School, April 2021, Virtual.
- The Chinese University of Hong Kong, CUHK Business School, December 2020, Virtual.
- DataFun Talk, November 2020, Virtual.
- Tsinghua University, School of Economics and Management, November 2020, Virtual.
- Chinese University of Hong Kong Shenzhen, School of Data Science, November 2020, Virtual.
- The University of Hong Kong, HKU Business School, November 2020, Virtual.
- Sun Yat-sen University, Lingnan College, October 2020, Virtual.
- Fudan University, School of Management, October 2020, Virtual.
- Sichuan University, School of Business, October 2020, Chengdu, China.
- National University of Singapore, Institute of Operations Research and Analytics (Video), October 2020, Virtual.
- Shanghai Jiao Tong University, Antai College of Economics and Management, September 2020, Shanghai, China.
- New York University, the Leonard N. Stern School of Business, September 2020, Virtual.
- Club Bear Online Seminar (Video in Chinese), July 2020, Virtual.
- University of Illinois at Chicago, College of Business Administration, October 2019, Chicago, IL.
- Peking University, Guanghua School of Management, December 2018, Beijing, China.
- Sun Yat-sen University, Lingnan College, December 2018, Guangzhou, China.
- Johns Hopkins University, Carey Business School, November 2018, Baltimore, MD.
- New York University, the Leonard N. Stern School of Business, November 2018, New York, NY.
- Chinese University of Hong Kong, CUHK Business School, January 2018, Hong Kong, China.
- Sichuan University, School of Business, December 2017, Chengdu, China.
- Washington University in St. Louis, Olin Business School, October 2017, St. Louis, MO.
- Hong Kong Polytechnic University, the Faculty of Business, August 2017, Hong Kong, China.
- City University of Hong Kong, the College of Business, August 2017, Hong Kong, China.
- Hong Kong University of Science and Technology, the Department of Information Systems, Business Statistics and Operations Management, August 2017, Hong Kong, China.
- New York University, the Leonard N. Stern School of Business, June 2017, New York, NY.
- Singapore Management University, Lee Kong Chian School of Business, April 2017, Singapore.
- National University of Singapore, NUS Business School, April 2017, Singapore.
- University of Science and Technology of China, School of Management, March 2017, Hefei, China.
- Southeast University, School of Economics and Management, December 2016, Nanjing, China.
- Tsinghua University, School of Economics and Management, December 2016, Beijing, China.
- Shanghai Jiao Tong University, Antai College of Economics and Management, December 2016, Shanghai, China.
- The University of Toronto, Rotman School of Management, November 2016, Toronto, Canada.
- Nanjing University, School of Management and Engineering, September 2016, Nanjing, China.
- Southwestern University of Finance and Economics, the School of Business Administration, July 2016, Chengdu, China.
- Southwest Jiao Tong University, the School of Economics and Management, July 2016, Chengdu, China.
- Shanghai University of Finance and Economics, School of International Business Administration, February 2016, Shanghai, China.
- New York University Shanghai, February 2016, Shanghai, China.
- University of Texas at Dallas, the Naveen Jindal School of Management, January 2016, Dallas, TX.
- New York University, the Leonard N. Stern School of Business, January 2016, New York, NY.
- Chinese University of Hong Kong, the Department Systems Engineering and Engineering Management, January 2016, Hong Kong, China.
- Hong Kong University of Science and Technology, the Department of Information Systems, Business Statistics and Operations Management, January 2016, Hong Kong, China.
- Hong Kong University of Science and Technology, the Department of Industrial Engineering and Logistics Management, January 2016, Hong Kong, China.
- Hong Kong Polytechnic University, the Faculty of Business, January 2016, Hong Kong, China.
- City University of Hong Kong, the College of Business, January 2016, Hong Kong, China.
Conference Talks
- HKUST-USC Marshall Conference on Digital Transformation, March 2024, Hong Kong, China.
- DataFun Causal Inference Online Summit 2023, October 2023, Virtual.
- INFORMS Annual Meeting 2023, October 2023, Phoenix, AZ.
- INFORMS Data Science Workshop 2023, October 2023, Phoenix, AZ.
- CSAMSE Conference 2023, July 2023, Shenzhen, China.
- ACM Conference on Economics and Computation (EC'23), July 2023, London, United Kingdom.
- Revenue Management and Pricing Annual Conference 2023, July 2023, London, United Kingdom.
- Analytics for X 2022, September 2022, Virtual.
- Revenue Management and Pricing Annual Conference 2022, June 2022, Virtual.
- INFORMS Annual Meeting 2021, October 2021, Virtual.
- CSAMSE Conference 2021, July 2021, Shanghai, China.
- MSOM Annual Conference 2021, June 2021, Virtual.
- INFORMS Annual Meeting 2020, November 2020, Virtual.
- National Science Foundation China PI Meeting, October 2020, Chengdu, China.
- INFORMS Annual Meeting 2019, October 2019, Seattle, WA.
- Data-Driven and Innovative Operations Workshop, June 2019, Shanghai, China.
- POMS-HK Conference 2019, January 2019, Hong Kong.
- Young Scholars' Forum on Management Science 2019, Janurary 2019, Xiamen, China.
- INFORMS Annual Meeting 2018, November 2018, Phoenix, AZ.
- Operations Management under ``Internet+'' Environment, August 2018, Wuhan, China.
- MSOM Annual Conference 2018, July 2018, Dallas, TX.
- Revenue Management and Pricing Annual Conference 2018, June 2018, Toronto, Canada.
- Revenue Management Workshop, May 2018, Shanghai, China.
- POMS Conference 2018, May 2018, Houston, TX.
- POMS-HK Conference 2018, January 2018, Hong Kong.
- Young Scholars' Forum on Management Science 2017, December 2017, Haikou, China.
- INFORMS Annual Meeting 2017, October 2017, Houston, TX.
- MSOM Annual Conference 2017, June 2017, Chapel Hill, NC.
- POMS-HK Conference 2017, January 2017, Hong Kong.
- INFORMS Annual Meeting 2016, November 2016, Nashville, TN.
- CSAMSE Conference 2016, July 2016, Hefei, China.
- Revenue Management and Pricing Conference 2016, June 2016, New York, NY.
- POMS Annual Meeting 2016, May 2016, Orlando, FL.
- DSI Annual Meeting 2015, November 2015, Seattle, WA.
- INFORMS Annual Meeting 2015, November 2015, Philadelphia, PA.
- MSOM Annual Meeting 2015, June 2015, Toronto, Ontario.
- POMS Annual Meeting 2015, May 2015, Washington DC.
- INFORMS Annual Meeting 2014, November 2014, San Francisco, CA.
- MSOM Annual Meeting 2014, June 2014, Seattle, WA.
- INFORMS Annual Meeting 2013, October 2013, Minneapolis, MN.
- INFORMS Annual Meeting 2012, October 2012, Phoenix, AZ.
Services
Journal Editor
Production and Operations Management, Senior Editor, Since 09/2022.
Naval Research Logistics, Associate Editor, Since 08/2022.
Journal and Conference Referee
Management Science,
Operations Research,
Manufacturing & Service Operations Management, MSOM SIG Conference, Marketing Science,
Information Systems Research,
NeurIPS, ICML, ICLR, AAAI, Mathematics of Operations Research, Transportation Science, Production and Operations Management, Service Science, Naval Research Logistics, European Journal of Operations Research, Transportation Research Part B: Methodological, ISTTT25, Decision Sciences, Applied Mathematical Modelling, Omega, Journal of Management Science and Engineering, Operational Research: An International Journal.
Service Awards
Manufacturing & Service Operations Management Meritorious Service Award, 2018, 2019, 2022, 2023.
Competition Co-Chair
INFORMS Service Science Best Student Paper Competition, 2022, 2023.
INFORMS Service Science Best Cluster Paper Competition, 2024.
POMS-HK Best Student Paper Competition, 2025
Professional Society Board
INFORMS Service Science Section Communication Editor, 01/2023-12/2024.
Competition Judge
MSOM Student Paper Competition, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024.
POMS College of Supply Chain Management Student Paper Competition, 2020.
CSAMSE Best Paper Competition, 2021, 2022, 2023, 2024.
POMS-HK Best Student Paper Award, 2024.
POMS International Conference China Best Paper Award, 2022.
ISCOM Best Paper Competition, 2021.
Conference Panelist, Committee, and Session Chair
Panelist:
---CSAMSE Conference 2023, Young Scholar Colloquium.
Session Chair:
---POMS-HK Conference 2024.
---CSAMSE Conference 2023.
---POMS-HK Conference 2023.
---INFORMS Annual Meeting 2020.
---INFORMS Annual Meeting 2018.
---POMS Annual Meeting 2018.
---POMS-HK Conference 2018.
---POMS-HK Conference 2017.
---CSAMSE Conference 2016.
Sponsorships and Exhibits Committee:
Membership
The Institute for Operations Research and Management Sciences (INFORMS),
The Manufacturing and Service Operations Management Society (MSOM),
The Revenue Management and Pricing Section (RMP),
The Production and Operations Management Society (POMS).
Experiences
Pre-College
I was born and raised in Chengdu, a city famous for its beautiful scenery, delicious food, and long history. Spending my first 18 years in one of the most livable cities in China, I enjoyed my childhood very much. More importantly, I really appreciate my parents' tremendous efforts in inspiring my intellectual curiosities in appreciating and creating knowledge, which have later driven my potential as a professional researcher. From September 2001 to June 2007, I attended Chengdu Experimental Foreign Languages School (CEFLS) for my high-school study. During my study in CEFLS, I was (and still am) fascinated by the beauty of mathematics and physics, and by their compelling power to understand our God-made world. I won several prizes in contests in mathematics and physics, one of which was the first prize in Chinese Mathematics Olympiad. It was this prize that enabled me to waive the national college entrance exam and get admitted to the Department of Information Management, Peking University. In September 2007, I left Chengdu and became an undergraduate student in Peking University.
Peking University
After the freshman year of my undergraduate study at Peking University, I have decided to advance my study in mathematics. As a result, in June 2008, I transferred to the School of Mathematical Sciences, Peking University. During my undergraduate years, I focused my study on pure mathematics, with particular emphasis on analysis and probability. I also did some research on discrete geometry, number theory, and geometry of numbers under the supervision of Professor Chuanming Zong. From June 2009 to September 2010, my research on the discrete generalization of Aleksandrov's Projection (Uniqueness) Theorem was supported by the National University Student Innovation Program of China. The final paper of this project can be downloaded here.
Throughout my last one and a half years of my undergraduate study, an intriguing question kept puzzling me: How to use mathematics to make better decisions? For the search of the answer to this question, I have put my main academic efforts to probability theory (and its applications) and operations research. I joined my B.S. thesis advisor, Professor Ke Liu's research group in May 2010, and became a regular speaker in the group seminar until I left Beijing for Ph.D. study in July 2011. Under the supervision of Professor Liu, I finished my B.S. thesis on a comprehensive review of the health care operations literature in June 2011. During my study and research in Professor Liu's group, I made up my mind to devote my career to the discipline of operations research and analytics.
During my undergraduate study, I also worked for several educational NGOs (e.g. China Rural Library and Beijing Western Sunshine Rural Development Foundation) in China, trying to help the students from the rural area of China. I help these organizations manage and serve their volunteers, as well as working as a volunteer myself.
Washington University in St. Louis
From August 2011 to May 2016, I was pursuing my PhD degree in the Operations and Manufacturing Management Group at Olin Business School, Washington University in St. Louis. My coursework training at WashU is multi-facet, including optimization, stochastic process, statistics, machine learning, microeconomics and econometrics. My academic advisors at Olin Business School are Professor Nan Yang and Professor Fuqiang Zhang. I have also worked with my classmate Guang Xiao, as well as Professor Long Gao from UC Riverside and Ting Luo from UT Dallas. My doctoral thesis research focuses on developing models and effective methodologies to address some fundamental operations issues (pricing, inventory control, capacity allocation, and procurement) under the emerging trends in technology, marketplace, and society (social networks, sustainability concerns, customer behaviors, and supply risks). You may download my dissertation, Dynamic Pricing and Inventory Management: Theory and Applications, here. I also did a lot of TA works during my doctoral study at Olin Business School. For example, I work with Professor Sergio Chayet in his MBA course "Operations Management" in each semester, and with Professor Bernardo Silveira in his undergraduate course "Market Competition and Value Appropriation" in each fall semester. I have also TAed Professor Fuqiang Zhang's PhD course "Research Topics in Operations and Supply Chain Management" in Spring 2015.
New York University Shanghai
Between September 2016 and June 2022, I was working at New York University Shanghai as an Assistant Professor of Operations Management. I was also affiliated with the operations management group at NYU Stern School of Business, NYU Shanghai Center for Business Education and Research, and
NYU Shanghai Center for Data Science and Artificial Intelligence. At NYU, I taught master's students Machine Learning for Business, and undergraduate students Business Analytics and Operations Management.
The Chinese University of Hong Kong
Starting from September 2022, I have continued my academic journey as an Associate Professor (with tenure) in the Operations Management Group of the Department of Decisions, Operations and Technology, The Chinese University of Hong Kong (CUHK) Business School. If you are interested in pursuing a PhD degree in Operations Management at the CUHK Business School under my supervision, please read this document or this Zhihu post, both of which are in Chinese.
In addition to my scholarly endeavor, I am also interested in creating a broader impact by connecting knowledge and practice. I am an economist and Tech Lead at Kwai, developing and implementing economics and data science frameworks to evaluate and optimize the ecosystem of the large-scale online video-sharing and live-streaming platform, its recommender system and advertising platform in particular.
In my spare time, I enjoy staying with my family and serving the God.
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