Hello! Welcome to my website. I am an Assistant Professor in Operations & Technology at the UCL School of Management. I graduated from the Stephen M. Ross School of Business, University of Michigan, where I obtained my PhD in Technology and Operations. My research interests are in revenue management, information design, and stochastic modeling. Feel free to contact me at zhenyu[dot]zhangmeng[at]ucl[dot]ac[dot]uk.

Research

1. Mengzhenyu Zhang, Hyun-Soo Ahn, Joline Uichanco, “Data-driven pricing for a new product”, Operations Research 70(2):847-866, 2022. link
2. Hyun-Soo Ahn, Eren Cetinkaya, Izak Duenyas, Mengzhenyu Zhang, “Benefits of collaboration in capacity investment and allocation”, Production and Operations Management 33(1), 128-145, 2024. link
3. Hyun-Soo Ahn, Christopher Ryan, Joline Uichanco, Mengzhenyu Zhang, “Certainty-equivalent pricing with dependent demand and limited price-changing opportunities”, accepted to Mathematics of Operations Research. link – Spotlight presentation at 2019 Revenue Management and Pricing Conference (top 20% of full paper submissions)
4. Mengzhenyu Zhang, Christopher Ryan, Wei Sun, Shivaram Subramanian, Markus Ettl, “Attribute-based pricing: A nested logit approach”, submitted. link
5. Hyun-Soo Ahn, Christopher Ryan, Joline Uichanco, Mengzhenyu Zhang, “Valuing influence with social learning”, submitted. link
6. Zi Ling, Christopher Ryan, Mengzhenyu Zhang, “On the interplay between pricing and information policies in monopoly selling”, submitted. link
7. Mengzhenyu Zhang, Fan Zhou, “How much information should be revealed on food freshness?”, submitted. link
8. Hyun-Soo Ahn, Mengzhenyu Zhang, Zijin Zhang, “Online decisions with (biased) offline data”, submitted. link

Work in progress

1. Roman Kapuscinski, Rodney Parker, Mengzhenyu Zhang, “Effects of financing on supply chain inventory”, in preparation.
2. Runshan Fu, Christopher Ryan, Mengzhenyu Zhang, “Signaling or learning for lean startups”, work in progress.
3. Izak Duenyas, Ozge Sahin, Mengzhenyu Zhang, “Time-dependent cancellation policies: Implications for consumers decision making and firm profit”, work in progress.

Teaching

School of Management, University College London

• Instructor: MSIN0095 Operations Analytics (22 Winter, 23 Winter, 24 Winter, evaluation: 4.7/5)

Stephen M. Ross School of Business, University of Michigan

• Instructor: TO 302 Operations Management (18 Winter, class size: 68, evaluation: 4/5)
• Teaching Assistant:
  • TO 301: Business Statistics and Management Science (16 Fall)
  • TO 502: Business Statistics (17 Fall)
  • TO 618: Applied Business Analytics and Decisions (17 Winter, 17 Fall, 18 Fall, 19 Fall)
  • TO 605: Manufacturing and Supply Operations (17 Winter)
  • TO 899: Inventory Management (PhD course, 18 Fall, 20 Fall)
  • EMBA 603: Business Analytics and Statistics for Executives (18 Fall)
  • TO 567: Data Mining and Business Analytics (19 Winter, 19 Fall)
  • TO 572: Applied Business Forecasting (19 Fall)
  • EMBA 610: Managerial Big Data Analytics (19 Summer, 20 Summer)