Education

  1. B.S. in Computer Science and Technology

    Beijing Institute of Technology
    Focusing on advanced algorithms, machine learning, and artificial intelligence. This dual-degree program provides a strong foundation for my current research in Reinforcement Learning.

  2. B.S. in Mathematics and Applied Mathematics

    Beijing Institute of Technology
    This program laid the groundwork for my analytical and problem-solving skills, which were instrumental in my research in reliability engineering and success in international math competitions.
Skills & Hobbies
Technical Skills
Python

PyTorch, TensorFlow, scikit-learn

C++

Object-oriented programming, data structures, 100+ LeetCode problems

LaTeX

Academic Writing

Hobbies
Running

Marathon enthusiast with an annual running distance of over 1000km.

Guitar

Serves as the guitarist in a rock band on campus.

Cats

Everybody loves cats, right?

Awards
Outstanding Student Award
Beijing Institute of Technology ∙ November 2025
Comprehensive university-wide honor awarded to the Top 10% of students based on exceptional academic achievement and outstanding research contributions. This recognizes overall excellence across studies and research.
Excellent Student Scholarship
Beijing Institute of Technology ∙ October 2025
Awarded for achieving the top academic rank (1st place) in the class during the 2024-2025-2nd semester. This scholarship recognizes exceptional academic performance and dedication to studies.
Finalist (MCM/ICM)
Top 2% of 27,456 teams worldwide
Consortium for Mathematics and its Applications (COMAP) ∙ May 2025
Project modeled ecological nitrogen cycling using dynamic models (e.g., modified Lotka-Volterra equations). Developed three comparative models to analyze trade-offs between agricultural yield, biodiversity, and sustainability. Solution repository, including TeX source and numerical simulation code, is open-sourced on GitHub.
Excellent Thesis Prize
Beijing Institute of Technology ∙ June 2024
Awarded for the undergraduate thesis, which developed a novel Markov Decision Process (MDP) framework to model and solve complex task termination problems for safety-critical systems under hybrid uncertainty. This research formed the basis of my first-author publication in the JCR Q1 journal, Computers & Industrial Engineering.
Meritorious Winner (MCM/ICM)
Top 9% of 20,858 teams worldwide
Consortium for Mathematics and its Applications (COMAP) ∙ May 2023
Developed a comprehensive Plant Soil Moisture Competition Model (PSMCM), combining a Soil-Water Model and an Improved Lotka-Volterra Model, to predict plant community viability under drought conditions. The team was also awarded the Huixian Special Grant (Te Li College) for outstanding contribution to international competition achievements.
Languages
100%
Chinese
75%
English
10%
German