Experience

Education

M.S.E. in Data Science

University of Pennsylvania Sep 2024 – Jun 2026 (expected)

  1. GPA: 4.0 / 4.0
  2. Relevant Courses:
    • Machine-Learning & Data-Science: Graph Neural Networks, Principles of Deep Learning, Big Data Analytics
    • Mathematical Foundations: Modern Convex Optimization, Statistics for Data Science
    • Robotics & Control: Learning in Robotics

B.S. in Applied Mathematics and in Statistics & Data Science

University of California, Santa Barbara Sep 2019 – Dec 2023

  1. Honors: Dean’s Honors List (4 quarters)
  2. Major GPA: 3.95 / 4.00 (Data Science); 3.71/4.00 (Applied Mathematics)
  3. Selected Courses:
    • Core Mathematics: Advanced Linear Algebra, Matrix Analysis, Vector Calculus, Topology, ODE/PDE
    • Numerical & Applied Math: Numerical Analysis, Fourier Series & Numerical Methods
    • Statistics & ML: Mathemtical Statistics, Bayesian Theory, Stochastic Process, Time Series, Risk Theory
    • Data-Science & Computing: Python/Java/C++/SAS Base Programming

Work Experience

Intern in Data Analytics @ Alphabet Inc.

Mountain View, CA Mar 2023 – Jun 2023

Intern K-12 Teacher (Full-Time) @ United World College

Changshu, China September 2021 – June 2022