معرفی
Peter Zhang is an Assistant Professor at Carnegie Mellon University's Heinz College of Information Systems and Public Policy, with a courtesy appointment in Civil and Environmental Engineering. He holds a PhD in Engineering Systems from MIT (2019), an MASc in Mechanical and Industrial Engineering from the University of Toronto (2013), and a BASc in Engineering Science from the same university (2011). His research focuses on optimization theory, applied to supply chains, transportation systems, health, and socio-technical systems. He emphasizes robust optimization, dynamic and bilevel problems, and their applications in policy design and high-stakes decision-making.
Education
- PhD in Engineering Systems, MIT (2019)
- MASc in Mechanical and Industrial Engineering, University of Toronto (2013)
- BASc in Engineering Science, University of Toronto (2011)
Research Interests
- Robust optimization and its applications
- Transportation safety and last-mile delivery systems
- Supply chain resilience and policy design
- Machine learning integration with optimization
Awards & Recognition
- INFORMS Koopman Prize (2020)
- First Place, INFORMS Junior Faculty Forum (2022)
- Ford Engineering Excellence Award (2015)
- INFORMS Daniel H. Wagner Prize (2014)
Advising & Mentorship Supervised PhD students including Hao Hao and Guanting Wu, with postdoctoral mentorship for Ningji Wei and Alberto Japón Sáez. Research teams have participated in datasets like the U.S. Household Commuting Dataset and NASA’s Blue Skies Competition.
Labs & Collaborations Collaborates on transportation fairness, hydrogen aviation decarbonization, and school bus optimization through interdisciplinary projects involving data science and policy analysis.
