Welcome!
Introduction
I am a Master's student in Operations Research at Columbia University, with a background in statistics, computer science, and economics. My work sits at the intersection of transportation analytics, operations research, machine learning, and data systems. Before Columbia, I completed an M.S. in Statistics at the University of Chicago and a B.S. with Honors in Statistics, Computer Science, and Economics from University of Wisconsin-Madison.
I am especially interested in building data-driven models for mobility systems, logistics, and urban operations, including facility location, vehicle routing, inventory management, scheduling, queueing systems, supply chain optimization, simulation and large-scale decision-making under uncertainty.
This website brings together my research, projects, and academic work, with a small PhotoLab for my photography interests.
News
- New working paper: Transit Destination Inference from Single-Tap Bus Smart Card Data: A Sequential Modeling Framework.
- New working paper: A Two-Stage Scheduling Heuristic for the Deadline-Constrained Traveling Salesman Problem with a Drone Station (TSP-DS).
- I am working on A Comprehensive Guide to Statistical Inference and Machine Learning, a guidebook bridging traditional statistical learning and modern machine learning for readers with a statistics background.