Welcome to my portfolio.

I've studied and implemented algorithmic reasoning and data-driven decision making across both industry and academia. Here are my top projects.

Causal Structure-Informed Reinforcement Learning

Built graph neural network-based reinforcement learning models leveraging causal structure for improved data-efficiency in multi-intervention environments.

Education

Columbia University

M.Sc. in Operations Research
Obtained October 2025, Qualified for Ph.D.

Brown University

B.Sc. in Applied Math & Computer Science
Graduated with honors in May 2023

Experience

Columbia University Aug 2024 — now

PhD Student

First year: Accelerated M.Sc. for PhD qualification in PhD-only theoretical stochastic modeling and optimization classes. Qualified with 3.73 GPA, M.SC. degree obtained October 2025.

Second year: Full time researcher under Prof. Lily Xu, teaching assistant for Machine Learning under Prof. Christian Kroer.