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Murray Lei

Assistant Professor


Yanzhe (Murray) Lei is an Assistant Professor of Management Analytics at Smith School of Business in Kingston, Canada. Murray holds a Ph.D. in Business Administration from the University of Michigan, and a B.Eng in Automation from Tsinghua University, China.

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Academic Area

  • Management Analytics

Interest Topics

  • Analytics & AI
  • Manufacturing
  • Retail

Faculty Details


Full Bio

Murray is broadly interested in the intersection between business analytics and operations management. His research focuses on the development of provably near-optimal real-time prescriptive analytics solutions that are easily implementable in a dynamic business environment.

His current work lies in the area of pricing and revenue management, and is motivated by real business problems that arise in the context of e-commerce/omnichannel retail and on-demand service platforms.

Academic Degrees

Ph.D. in Technology & Operations
University of Michigan, Ross School of Business (2018)

Bachelor of Engineering (with highest honor), Department of Automation
Tsinghua University (2012)

Academic Experience

Smith School of Business, Queen's University
Assistant Professor (2018 - Present)


Working Papers

Yanzhe (Murray) Lei, Stefanus Jasin, Jinyi Wang, Houtao Deng, Jagannath Putrevu. Dynamic Workforce Acquisition for Crowdsourced Delivery Platforms. Submitted.

Yanzhe (Murray) Lei, Stefanus Jasin, Joline Uichanco, Andrew Vakhutinsky. Joint Product Framing and Order Fulfillment for E-commerce Retailers. Submitted. 

Qi (George) Chen, Yanzhe (Murray) Lei, Stefanus Jasin. Real-Time Spatial-Intertemporal Dynamic Pricing for Balancing Supply and Demand in a Network. Submitted.

Yanzhe (Murray) Lei, Sheng Liu, Stefanus Jasin, Andrew Vakhutinsky. Near-Optimal Joint Inventory and Pricing Controls for One-Warehouse Multi-Store Problems. Manuscript in preparation.

Yanzhe (Murray) Lei, Sean Zhou, Zhuolu Zhang. Dynamic Pricing under Trade-in Programs. Manuscript in preparation.

Yanzhe (Murray) Lei, Stefanus Jasin, Amitabh Sinha. Near-optimal Bisection Search for Nonparametric Dynamic Pricing with Inventory Constraint. In revision.


Yanzhe (Murray) Lei, Stefanus Jasin, Amitabh Sinha. Joint Dynamic Pricing and Order Fulfillment for E-commerce Retailers. Manufacturing & Service Operations Management 20(2), 2018: 269 - 284.

  • 2017 POMS-HK Student Paper Competition, Second Place

Yanzhe (Murray) Lei, Stefanus Jasin. Real-time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservations, and Deterministic Service Time Requirements. Accepted
at Operations Research.


Student Supervision

Timothy Upson, Master of Science in Management, co-advised with Anton Ovchinnikov

Kiarash Hassani, Master of Science in Management, second reader, dissertation title "Investment Behaviour Prediction in New Ventures”



Applications: Pricing and Revenue Management, Service Operations, Retail Operations, On-demand Platforms.

Methodologies: Stochastic Control, Dynamic Optimization, Online Learning and Optimization, Asymptotic Analysis.


Research Presentations

“Dynamic Pricing under Trade-in Programs.”

  • INFORMS 2020

“DynamicWorkforce Acquisition for Crowdsourced Delivery Platforms.”

  • POMS 2020, INFORMS 2019

“Real-time Spatial Dynamic Pricing for Balancing Taxi Supply and Demand.”

  • POMS 2020, MSOM 2019

“Randomized Product Display, Pricing, and Order Fulfillment for E-commerce Retailers.”

  • INFORMS 2018, 2019

“Real-time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservations, and Deterministic Service Time Requirements.”

  • POMS 2017, 2019, INFORMS 2017, 2018, INFORMS APS 2017, MSOM 2017

“Joint Dynamic Pricing and Order Fulfillment for E-commerce Retailers.”

  • INFORMS 2017, 2016, POMS-HK 2017, MSOM 2016, INFORMS RMP 2016

“Near-Optimal Bisection Search for Nonparametric Dynamic Pricing with Inventory Constraint.”

  • INFORMS 2014, MSOM 2014



W. Allen Spivey/Valerie and William Hall Family Fellowship, University of Michigan (2017)

Other Awards

POMS-HK Student Paper Competition, Second Place (2017)

Rackham Early Candidacy Grant, University of Michigan (2015)

Phi Kappa Phi, University of Michigan (2013-2014)

Outstanding Graduate, Tsinghua University (2012)

First-class Scholarship, Tsinghua University (2009-2011)

Grants & Funding

Monieson Centre Future of Business Grant (2018 - 2020)
Queen's University | $9,000



Session chairs: INFORMS Annual Conference (2017, 2018, 2019, 2020), POMS Annual Conference (2020), CORS Annual Conference (2020)

Ad-hoc journal reviewer: Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, Transportation Research
Part B: Methodological, Naval Research Logistics, Operations Research Letter

Ad-hoc grant reviewer: Mitacs accelerate grant

Ad-hoc conference reviewer: 2020 MSOM Supply Chain Special Interest Group (SIG) Conference 

Competition reviewer: 2020 POMS College of Supply Chain Management’s Best Student Paper Competition, 2020 INFORMS TIMES Best Working Paper Award Competition

Queen's University Service

  • Conflict Analytics Lab (2020 - Present)
  • Scotiabank Scholar at the Scotiabank Centre for Customer Analytics (2019 - Present)
  • Graduate student research grant committee, Smith School of Business (2019 - Present)
  • Graduate student fellowship committee, Queen’s University (2020 - Present)