Experience

  1. Graduate Teaching Assistant – Linear System Theory

    University of Pennsylvania

    Graduate Course (ESE 5000: Linear System Theory)

    • Designed homework assignments for ~125 students, ensuring alignment with course learning objectives.
    • Held weekly office hours to provide academic support and address student questions.
    • Conducted recitations to reinforce lecture material, facilitate problem-solving, and guide students in a large-class setting.

  2. Teaching Assistant – Game Theory

    Jinan University

    Undergraduate Course

    • Assisted in teaching Game Theory, focusing on foundational concepts such as zero-sum and non-zero-sum games, Nash equilibrium, and Shapley value.
    • Conducted 8 recitation sessions to reinforce theoretical understanding and problem-solving skills.
    • Supported students through Q&A, example walkthroughs.

  3. Intern in Data Analytics

    JLL (Jones Lang LaSalle)

    Conducted in-depth data collection and analysis for commercial real estate.

    • Collected data from over 600 companies and 40+ Grade-A office buildings through on-site surveys, focusing on tenants, vacancy rates, and performance metrics.
    • Utilized SQL for data extraction and Excel for real-time database updates, ensuring accuracy and consistency.
    • Built a custom program to extract text from large image datasets and automate text file organization, significantly improving workflow efficiency.

  4. Class Representative

    Jinan University

    Class Size: 36

    • Organized over 20 class activities, including hiking, short trips, and experience-sharing sessions with seniors.
    • Coordinated a group graduation photo session for more than 260 students across the college.
    • Led a long-term volunteer activity at the school hospital, providing patient directions for 200 service hours.

Education

  1. PhD in Computing

    Imperial College London, UK
    Incoming PhD student in the Department of Computing, advised by Professor Giuliano Casale.

  2. MS in Electrical Engineering

    University of Pennsylvania, USA

    1. GPA: 4.0/4.0

    2. Relevant Courses:

    • Challenging Mathematics Courses: Modern Convex Optimization (A+), Linear System Theory (A)
    • Machine Learning Courses: Applied Machine Learning (A), Graph Neural Network (A)
    • Applied Courses: Autonomous Driving (A+), Estimation and Detection Theory (A+)

  3. Dual BSc in Applied Mathematics and Information Computing Science

    University of Birmingham, UK & Jinan University, China

    1. Honors: First Class Honors (University of Birmingham)

    2. GPA: 3.82/4.00 (Birmingham), 4.01/5.00 (Jinan)

    3. Relevant Courses:

    • Probability and Statistics (A)
    • Information Theory (A)
    • C Programming (A)
    • MATLAB Programming (A+)
    • Game Theory (A+)
    • Applied Statistics (A)

Awards

Academic Achievements

  • President Gutmann Leadership Award, University of Pennsylvania, 2025
  • Professional Student Travel Grant, University of Pennsylvania, 2025
  • Outstanding Undergraduate Thesis Award, Jinan University, 2024
  • Outstanding Undergraduate Achievement Award, Jinan University, 2024
  • First-class Scholarship, Jinan University, 2023 & 2024
  • China National Scholarship (Top 0.2%, highest national scholarship for Chinese undergraduates), 2022

Competitions

  • Kaggle: Google – Fast or Slow? Predict AI Model Runtime (Oct. 2023)
    Prize: Bronze Medal (Top 10%)
    Preprocessed data and built a Graph Convolutional Network (GCN) to predict runtime of graphs and configurations using ML models trained on runtime data.
  • 2022 China Undergraduate Mathematical Contest in Modeling (Sep. 2022)
    Prize: Provincial First Prize (Top 10%)
    Applied Logistic Regression, Fuzzy C, PCA, and K-Means Clustering to analyze and classify weathering of ancient glass artifacts.
  • 2022 Mathematical Contest in Modeling (Feb. 2022)
    Prize: Honorable Mention (Top 30%)
    Used Empirical Mode Decomposition (EMD) and LSTM neural networks to design a portfolio strategy for gold and bitcoin.
Skills & Hobbies
Technical Skills
Python, ROS2
R, C++, Matlab
Pyomo, Scikit-Learn, Pytorch
Hobbies
Sports(Running, ball, climbing)
Networking(Social!)
Learning(New knowledge!)