About
I am a fourth-year PhD candidate in the Decision, Risk, and Operations (DRO) division at Columbia Business School, where I am fortunate to be advised by Hongyao Ma and Will Ma.
My research interests broadly center on algorithmic decision-making under uncertainty, with a specific focus on the design and analysis of highly practical algorithms for on-demand platforms. By modeling domain-specific structural properties, I aim to bridge the gap between theoretical algorithmic analysis and practical, deployable operations.
Previously, I graduated as a mathematical engineer and an MS in Operations Management at Universidad de Chile, being advised by José Correa for my thesis.
Research
- Potential-Based Greedy Matching for Dynamic Delivery Pooling
- With Hongyao Ma and Will Ma
- Journal Version Submitted
- Web and Internet Economics (WINE), 2025
- Finalist, INFORMS TSL Data-Driven Research Challenge
- Tight Asymptotics of Extreme Order Statistics
- With José Correa and Frederik Mallmann-Trenn
- Advances in Neural Information Processing Systems (NeurIPS), 2025
- A Linear and Scalable Cutting-Plane Algorithm for Electricity Pricing
- With Felipe Verástegui and Matías Villagra
- IEEE Power & Energy Society General Meeting (PESGM), 2025
- On the Asymptotic Behavior of the Expectation of the Maximum of IID Random Variables
- With José Correa
- Operations Research Letters, 49:785-786, 2021
Work in Progress
- Sequential Offering in On-Demand Platforms: On the Optimality of Greedy Ranking
- With Hongyao Ma and Will Ma