Experience

  1. LLM & OPT Researcher

    QingTian Lab, Cardinal Operations
    • LLM Systems: Research on infrastructure optimization for large-scale LLM training.
    • Optimization: Research on GPU-accelerated parallel optimization algorithms.

  2. Teaching Assistant of Advanced Operations Research

    Prof. Bo Jiang (RIIS@SUFE)
    • Syllabus: This course mainly focuses on the fields of Operations Research, including Optimization Theory, Integer Programming, Revenue Management, Constrained & Unconstrained Optimization, Robust Optimization.
    • Responsibility: online tutorial, weekly tutorial, assisting students with related questions and grading of the homework and exams.

  3. TA of OOAD (Object-Oriented Analysis and Design )

    Prof. Bundit Laekhanukit (ITCS@SUFE)
    • Syllabus: This course mainly focuses on understanding the principles of object-oriented programming and design.
    • Responsibility: online tutorial, weekly tutorial, assisting students with related questions and guiding the students to complete projects using Kotlin.

Education

  1. PhD in Industrial Engineering & Management Sciences

    Northwestern University
    First-year PhD student, enrolled in Fall 2026.

  2. BE Data Science and Big Data Technology

    Pilot Class of Research Institute for Interdisciplinary Science at Shanghai University of Finance and Economics
    • Average Score: 89.44/100 GPA: 3.77/4.0
    • Class Ranking: 5/18 Grade Ranking: 7/118
    • Main Courses included:
      • Mathematics: Discrete Mathematics, Linear Algebra, Mathematical Analysis, Probability, Mathematical Statistics, Stochastic Process, Numerical Computation Method, Game Theory, Dynamic Programming, High-Dimensional Data Analysis, Data-Driven Decision Making, Operations Management, Linear & Nonlinear Programming, Advanced Operations Research
      • Computer Science: Python, C++, Data Structure, Data Mining, Machine Learning, Deep Learning, Advanced Program Design and Experiment, Algorithmic Design & Analysis
      • Economics: Microeconomics, Macroeconomics, Economic Management of Computer Application, Econometrics, Money and Banking
Skills & Hobbies

  • Programming Languages:

    • Python, C/C++, Julia, MATLAB, R, Kotlin

  • Frameworks and Tools:

    • Machine Learning:
      • PyTorch, PyTorch Geometric (PyG), PyTorch Lightning, Scikit-learn, Gym, Isaac Gym
    • Operations Research:
      • COPT, Gurobi, SCIP, HiGHS, OR-Tools, JuMP, CVX
    • Document Formatting:
      • LaTeX, Markdown, Typst
    • Others:
      • NumPy, Pandas, CUDA, CPython, JuliaCall, PythonCall, Shell, SSH, Git, YAML, JSON, Office, Photoshop

  • Hobbies:

    • Drawing, Biking, Skiing, Photography, Puzzle, Assembled Model, Coffee