CV
Education
- B.S. in Electrical Engineering (Electronic Packaging Technology), Huazhong University of Science and Technology, 2021-2025
- Major: Electronic Packaging Technology — GPA: 85.4/100. Key courses included Computational Methods, Principle of Microcomputer, Stochastic Process, Signals and System.
- Exchange student, UC Berkeley, 2024
- Courses: Data Structure, Artificial Intelligence — GPA: 3.57/4
Research Experience
- Spring 2024: Data Science Research Intern
- Grapedata
- Duties include: Developed a two-step fine-tuning method for Language Models to generate insights from limited survey data. Worked under UCL statistics professor Mark Briers.
- Supervisor: Mark Briers and Grapedata staff
- Fall 2023: Research Assistant
- AI Lab, University of Wisconsin-Madison
- Duties included: Designing a benchmark for coding detection and repair in LLMs. Key role in data preparation, experimental design, and execution.
- Supervisor: Chaowei Xiao
- March - December 2023: Research Intern
- Quantitative Finance Group, Huazhong University of Science and Technology
- Duties included: Integrating machine learning with quantitative finance to predict market trends and optimize trading strategies.
- Supervisor: Professor Wei Jie
Project Experience
- Data Science Research Intern, Grapedata January 2024 - May 2024
- GPT Insight Generator for Survey Data: Developed an insight generator utilizing GPT-4.0 to analyze and generate insights from survey data.
- Two-Step Fine-Tuning Method: Implemented a two-step fine-tuning approach to train the LLM, focusing on statistical analysis and pattern recognition to enhance insight generation.
- Insight Generation: Generated insights by creating structured prompts and leveraging LLM capabilities to analyze survey responses, including sentiment analysis and topic modeling for open-ended questions, and descriptive statistics for choice-based questions.
- Similarity Sort Method: Developed a method to rank and select the most relevant survey questions to enhance model accuracy and context relevancy during both training and user interaction stages.
- Award and Recognition: Project was awarded the Cloud Computing Application Award by UC Berkeley Data Science Discovery Program, recognizing its significant application value among over 100 projects.
Competition and Program Experience
- Parallel Programming Practice, HUST-USYD Summer School (Summer 2022): Gained experience in parallel computing, using OpenMP and MPI.
- Ancient Glassware Classification & Analysis, China Undergraduate Mathematical Contest in Modeling (September 2022): Led a team in utilizing logistic regression and K-Means for classification.
- Mathematical Analysis for The New York Times’ Wordle Game, Mathematical Contest in Modeling (February 2023): Developed prediction models using ETS and BP Neural Network.
Honors & Awards
- GPT Insight Generator for Survey Data, UCB Data Science Discovery Program (May 2024): Cloud Computing Application Award
- College Student Mathematics Competition, Hubei Division (Mar 2023): Second Prize
- Chinese Mathematics Competition (Jan 2023): Second Prize
- China Undergraduate Mathematical Contest in Modeling, Hubei Division (Sep 2022): Third Prize
Skills
- Programming Languages:
- Python (mostly used)
- Java
- C++
- Machine Learning Techniques and Numerical Computation Algorithms
- English Proficiency: IELTS (Band 7)
