Current Research
I work on robust (dynamic and bilevel) optimization problems. They are motivated by projects in supply chain and transportation systems, or more generally policy design and high-stakes decision-making. I try to design useful models for interesting practical problems, and study their theoretical properties such as tractability and robustness.
Work in Progress
- Distributionally Robust Principal-Agent Problems and Optimality of Contract Menus | paper
- A Mathematical Programming Approach to Optimal Classification Forests (with Víctor Blanco, Alberto Japón, and Justo Puerto) | paper
- Structural Properties of Equitable Solutions (with Özgün Elçi and John Hooker)
- Fairness and Optimization Under Uncertainty (with Philippe Blaettchen)
- Online TSP Approximation: New Models and Practical Datasets (with Hao Hao and Hai Wang)
- Rating and Service Quality Prediction in Online Labor Markets: Models and Implications (with Hai Wang and Guanting Wu)
- Demand Learning and Supply Optimization of Last-Mile Transportation Services (with Yidi Miao and Hao Hao)
- Explaining and Implementing Robust Optimization for Large Supply Chains (with Hao Hao, Ningji Wei)
Publications
- Adjustability in Robust Linear Optimization (with Ningji Wei), Mathematical Programming (2024), | paper
- First place, INFORMS Junior Faculty Forum Paper Competition (2022)
- Being emotionally supportive: exploring the value of emotional appeals retargeting in recovering consumers of FinTech services. (with Tian Lu, Xianghua Lu, Hui Yang). Production and Operations Management, forthcoming.
- Travel Cadence and Epidemic Spread, Proceedings of the Winter Simulation Conference (2021) (with Lauren Streitmatter) GitHub.
- Fleet Sizing and Allocation for On-demand Last-Mile Transportation Systems, Transportation Research Part C. (joint work with Karmel Shehadeh and Hai Wang)
- Designing response supply chain against bioattacks, Operations Research. (joint work with David Simchi-Levi and Nikos Trichakis)
- INFORMS Koopman Prize (2020)
- POMS HOCM best paper competition runner-up (2018)
- POMS SCM student paper competition runner-up (2017)
- MSOM SIG (2017)
- Identifying risks and mitigating disruptions in the automotive supply chain. INFORMS Journal on Applied Analytics. (joint work with David Simchi-Levi, William Schmidt, Yehua Wei, and Ford Motor Company)
- Ford Engineering Excellence Award (2015)
- INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice (2014)
- Multi-stage resource-aware scheduling for data centers with heterogenous servers. Journal of Scheduling. (joint work with Tony Tran, Heyse Li, Doug Down, and Chris Beck)
- Solving wind farm layout optimization with mixed integer programs and constraint programs. EURO Journal on Computational Optimization. (joint work with David Romero, Chris Beck, and Cristina Amon)
- Multiobjective wind farm layout optimization with non-dominated sorting genetic algorithm. Journal of Mechanical Design. (joint work with Penelope Kwong, David Romero, Joaquin Moran, M. Morgenroth, and Cristina Amon)
- A new mathematical programming approach to optimizing wind farm layouts. Renewable Energy. (joint work with Sarina Turner, David Romero, and Timothy Chan)
Stagnant Work
- Model Mis-specification and Algorithmic Bias (with Runshan Fu and Yangfan Liang) | paper | poster
- Closing the Correlation Gap: Distributionally Robust Optimization with Hidden Information (with Clark Pixton)
Datasets
- U.S. Household Commuting Dataset and Transportation Fairness (with Hao Hao and Hai Wang) | GitHub
Not Peer Reviewed
- A Pathway to the Fuel of the Future: Hydrogen’s Role in Aviation Decarbonization | Student team: Jon Gordon, Jaih Hunter-Hill, Anna Cobb, Xiaohan Wu, Dorothy Li | Co-advisor: Jared Cohon
- Finalist at NASA 2023 Gateways to Blue Skies: Clean Aviation Energy (Blue Skies) Competition
- Joint Optimization of School Bus Routes and Last-mile Services | Summary | Full report.
- The New COVID-19 Variant Prediction with Dynamic Model - A policy memo to the Government of Republic of Indonesia (July 25, 2021) | GitHub.
- Data-Driven Reopening Strategies for State and Local Governments. Report and slides on this CMU-wide collaboration. Cited in:
- Mitigating Economic Impact of the COVID-19 Pandemic and Preserving U.S. Strategic Competitiveness in Artificial Intelligence, National Security Commission on Artificial Intelligence.
- Process to Reopen Pennsylvania (May 12, 2020) Pennsylvania Governor's Office.
Academic Mentorship
Postdoc:
- Ningji Wei (2020 -- 2022). Current position: Assistant Professor at Texas Tech University.
- Alberto Japón Sáez (2022 -- 2023)
PhD:
- Hao Hao (2021 -- )
- Recipient of the TCS Presidential Fellowship at Carnegie Mellon University (2023)
- Guanting Wu (2022 -- )
- Yidi Miao (2023 -- )