Scholar
Carolina Osorio
Google Scholar ID: 7-TgO5oAAAAJ
Scale AI Chair, Professor, HEC Montreal / Staff Research Scientist, Google Research
Citations & Impact
Citations
1,368
H-index
21
i10-index
29
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Ranked in the top 2% of most cited scientists in OR + Transportation and Logistics for 2023
- Paper accepted at NeurIPS 2024: 'Sample-efficient simulation-based inference for urban travel demand calibration'
- Keynote speaker at the 2025 IEEE MT-ITS Conference
- Keynote speaker at the 2026 EURO Working Group on Vehicle Routing and Logistics Optimization Annual Workshop
- Invited talk at EURO OSS on Operational Research and Machine Learning in February 2025
- Featured in Google Research blog post on high-resolution metropolitan traffic simulators: 'Urban mobility solutions: Calibrating digital twins at scale'
Background
- Expert in applying Artificial Intelligence and Operations Research to urban logistics and transportation
- Develops high-resolution modeling and data-driven techniques to optimize mobility systems at city and metropolitan scales
- Integrates ideas from probability theory, simulation, simulation-based optimization, derivative-free optimization, nonlinear optimization, statistics, traffic control, and traffic flow theory
- Collaborates with major public and private stakeholders including NYCDOT, SANDAG, Ford, Zipcar, Accenture, and IBM
- Research spans metropolitan areas such as Berlin, Boston, Chicago, Lausanne, NYC, San Diego, San Francisco, Singapore, and Toronto
- Recent projects focus on car-sharing, congestion pricing, traffic management, and model calibration
Co-authors