Hao Hao
Hello! I am a 5th-year PhD candidate at the Heinz College, Carnegie Mellon University. I am fortunate to be advised by Prof. Peter Zhang.
I work on decision-making under uncertainty (i.e., optimization under uncertain parameters) with a particular interest in its efficient computation. Such problems are ubiquitous across real-world applications, e.g., supply chain management under uncertain demand and risk of disruptions, and autonomous driving in uncertain physical environments. My current work focuses on efficiently computing entire solution sets under various levels of robustness and efficiency trade-off.
Job-Market Paper
Robust Paths: Geometry and Computation [Link]
Hao Hao and Peter Zhang
- First Place, 2025 George Nicholson Student Paper Competition
- Winner, 2025 INFORMS Computing Society Student Paper Award [Citation]
Working Papers
Assessing and Explaining the Efficiency of Urban Transportation Networks
with Hai Wang and Peter Zhang
Submodular Learning for Risk-Aware Prediction-Optimization: Applications in Distributed Healthcare
with Peiyu Wang, Shuwei He, Holly Wiberg, and Peter Zhang
Teaching
Teaching Assistant, Heinz College, Carnegie Mellon University
- Decision Analytics for Business and Policy
- Decision Making under Uncertainty
- Unstructured Data Analytics
Talks
Robust Paths: Geometry and Computation
- INFORMS Annual Meeting (Upcoming) 2025
- YinzOR, Flash Talk Competition, Carnegie Mellon University 2025
- INFORMS Annual Meeting 2024
Assessing and Explaining the Efficiency of Urban Transportation Networks
- INFORMS Annual Meeting 2024
- INFORMS Annual Meeting 2023