Work Experience

  • Susquehanna International Group (SIG) — Quantitative Researcher Intern
    Jun–Aug 2026
    • Developed automated equity-trading strategies using predictive signals derived from options-market data.
    • Evaluated and maintained strategies on sequentially released out-of-sample data spanning 2019–2025.
    • Ranked in the top quartile among quantitative research interns and new hires on the strategy P&L leaderboard.
  • Capital One
    Associate
    Jul 2021–Jul 2022
    • Developed probability-of-default models for real-estate and low-default commercial loan portfolios.
    Data Science Intern
    May–Jul 2020
    • Developed a procedure for handling missing data in decision-tree classifiers, including identifying missingness patterns and selecting appropriate treatments.
    • Implemented the methodology in an internal Python-based decision-tree tool. Patent application.
    • Received a full-time Data Science Associate offer at the end of the internship.
  • Centre for Science of Student Learning — Research Intern
    May–Jul 2019
    • Conducted research on student learning using classical test theory and psychometrics.
    • Contributed to an effect-size study through simulations and R tools, and analyzed teacher questionnaires using factor analysis.

Industry Collaborations

  • NASA Langley Research Center

    Modeling Multivariate Dependencies in Flight Data

    • Formulated a tractable optimization framework for modeling multivariate dependencies in flight data.
    • Developed a Python package for internal use, with a corresponding MATLAB implementation.
    • Developed estimation methods using non-normalized statistical models.
  • Dream Sports

    Fantasy Sports User Behavior Modeling

    • Analyzed large-scale transaction and contest-participation data to model fantasy-sports user engagement.
    • Explored time-series and discrete-state models of user spending and contest participation, with the goal of identifying how platform promotions and incentives affect engagement.
  • New York City Department of Correction

    Forecasting Supplies for People in Care

    • Developed demand forecasting methods for a broad range of goods and supplies required by people in care.

Teaching Experience

  • Teaching Assistant, IEOR E4733: Algorithmic Trading — Columbia University
    Spring 2026

    Instructor: Prof. Charles Pehlivanian.

  • Teaching Assistant, IEOR E4404: Simulation — Columbia University
    Spring 2025

    Instructor: Prof. Henry Lam.

  • Teaching Assistant, IEOR E4707: Continuous-Time Models — Columbia University
    Spring 2024

    Instructor: Prof. Xunyu Zhou.

  • Teaching Assistant, IEOR E4106: Stochastic Models — Columbia University
    Fall 2023

    Instructor: Prof. Ton Dieker.

  • Teaching Assistant, IEOR E4150: Introduction to Statistics & Probability — Columbia University
    Spring 2023

    Instructor: Prof. Ton Dieker.

Reviewing & Editorial Service

  • Journal Reviewer — INFORMS Journal on Computing (2026)
  • Journal Reviewer — Operations Research Letters (2024)
  • Conference Editing and Support — Winter Simulation Conference (2023)