CV & Resume

Education

  • 2023 - 2025
    Master of Science in Computer Science (MSCS)
    Stanford University
    • Incoming MSCS student in Fall 2023.
    • Highly enthusiastic in potential research opportunities!!
  • 2019 - 2023
    Bachelor of Science
    University of California, Los Angeles (UCLA)
    • Major in Math of Computation, Minor in Statistics
    • Major GPA 3.94/4.00
    • Machine Intelligence group
  • 2015 - 2019
    High School
    Westtown School, PA, USA
    • Highest Scholarship Award
    • Math Club Head, Varsity Swimming

Experience

  • Jan 2023 - Now
    Research Intern
    Microsoft Research Asia (MSRA)
    • Meta Reinforcement Learning.
  • Apr 2022 - Apr 2023
    Undergraduate Researcher
    Machine Intelligence group
    • Multi-Objective Reinforcement Learning.
  • Mar 2021 - July 2021
    Deep Learning Engineer Intern
    Kuaishou Technology
    • Search model beased on BERT.
    • Data pipeline optimizaiton.

Skills

  • Research & Modeling: Reinforcement Learning, Deep Learning, Machine Learning
  • Programming: Python, C++, R, Shell, PostgreSQL, MySQL, LISP
  • Packages: PyTorch, Matplotlib, Sklearn, WanDB ...
  • Database:(?) Spark, MongoDB

Courses

  • CS | ECE | STATS Grad-Level - Deep Generative Models, Graph Neural Networks, Pattern Recognition and Machine Learning, Methods of Machine Learning, Convex Optimization
  • CS Ugrad - Directed Research, Artificial Intelligence, Deep Learning for Computer Vision, Data Management Systems, Advanced Programming C++, Python w. Applications
  • MATH Ugrad - Probability, Mathematical Statistics, Stochastic Processes, Algorithms, Applied Numerical Analysis, Mathematical Methods for Data Theory, Machine Learning, Optimization, Real Analysis, Complex Analysis
  • STATS Ugrad - Monte Carlo Methods, Linear Models, Data Mining, Experiment Design, Data Analysis & Regression, Probablistic Decision Making

Other Interests

  • Hobbies: Swimming, Gym, Singing(?)