Jue Wang

Jue Wang is an Associate Professor & Distinguished Faculty Fellow of Management Analytics at the Smith School of Business, Queen's University, Canada. He holds a cross-appointment as Affiliate Professor in Mechanical & Industrial Engineering at the University of Toronto (2019–present). His research focuses on operations research applications in wildlife conservation, public health, and revenue management. He completed his PhD in Industrial Engineering & Operations Research at the University of Toronto (2013) and has led big data analytics projects in energy, transportation, and mining sectors.

Educations:

• PhD, Industrial Engineering & Operations Research, University of Toronto (2013)
• MSc, Biomedical Engineering, Peking University (2008)
• BSc, Biomedical Engineering, Xi’an Jiaotong University (2007)

Research Interests:

• Wildlife disease management (e.g., Chronic Wasting Disease surveillance strategies)
• Threatened species conservation optimization (e.g., Hainan gibbon population modeling)
• Whale conservation via vessel speed reduction zone optimization
• Real-time decision-making with monitoring data
• Optimal control theory applications in revenue management

Key Research Trends: Recent work emphasizes conservation analytics, integrating operations research with ecological data to address biodiversity challenges. Publications show focus on strategic surveillance planning, endangered species management, and sustainable shipping practices. His 2024 Management Science paper pioneered AI-driven models for species recovery, highlighted by INFORMS.

Awards:

• Distinguished Faculty Fellow, Queen's University
• Scotiabank Scholar (Scotiabank Centre for Customer Analytics)

Advising & Grants: Supervises students in conservation analytics and operations research. Collaborates with Cornell Wildlife Health Lab on CWD management tools deployed across 27 wildlife agencies via SOP4CWD data warehouse. Active in grant-funded projects involving wildlife agencies and conservation organizations.

Labs/Teams: Leads conservation analytics initiatives with Hainan Tropical Rainforest National Park and Cornell University. Develops decision-support systems for wildlife agencies through interdisciplinary teams of biologists, data scientists, and policymakers.