CV
EDUCATION
M.S., Statistical Science
GPA: 4.00/4.00, Ranking: 1/45
B.S., Mathematics and Applied Mathematics (Outstanding Graduate)
Major in Probability and Statistics track
GPA (WES Converted): 3.91/4.00, Ranking: 9/92
RESEARCH
Enhanced Cyclic Coordinate Descent | Co-First Author (In Progress)
Supervised by Assistant Professor Aditya Devarakonda at Wake Forest University.
- Proposed and developed a novel Taylor expansion-based approximation method to replace block coordinate descent (BCD) in GLM with elastic net/LASSO.
- Ensured convergence while accelerating computation, achieving a 2–3× speedup over GLMnet in R to date.
- Fully responsible for algorithmic development and theoretical proofs.
- Aiming to complete this work by April 2025.
Stability-guided Adaptive Diffusion Acceleration | Co-First Author (ICML 2025 Submission)
Collaborated with students in Professor Yiran Chen’s group at Duke University.
- Developed a stable guided method based on probability flow ODE to accelerate diffusion models by selecting appropriate skipping strategies and providing approximations in the sampling process.
- Ensured stability across various solvers, including DPM-Solver++ and the Euler solver.
- Fully responsible for algorithmic development and theoretical proofs.
Trimmed Mean for Partially Observed Functional Data | Bachelor’s Thesis
Supervised by Associate Professor Lan Xiaohong from USTC.
RELEVANT COURSEWORK
Mathematics & Statistics: Probability Theory (Original & Advanced, Honors, both A+), Advanced Probability Theory (A+), Mathematical Statistics (Original & Advanced, Honors, both A+), Bayesian Analysis, Time Series Analysis (A), Stochastic Processes (A-), Predictive Inference (A), Statistical Inference (A), Functional Analysis (A-), Real Analysis (A-), Complex Analysis, Mathematical Analysis I (A+), II (A), III (A-), Abstract Algebra (A-), Linear Algebra I (A+), II (A-), Fundamentals of Algebra (A), Differential Equations (A+), Operations Research, Differential Geometry (A), Fundamentals of Geometry (A).
Computer Science: Machine Learning Theory & Algorithms (A), Data Structures and Databases (A), C Programming (A+), R Programming (A), Python Programming (A), MATLAB (A-), Linux (A-).
Physics: Mechanics (A-), Optics (A), Electromagnetism (A), Atomic Physics (A+), Thermodynamics (A+), Basic Circuit Theory (A), University Physics Laboratory I (A-).
PROJECTS
Airbnb Price Prediction in New York City | CS 671 Machine Learning Kaggle Competition
Nov. 2024- Predicted Airbnb prices using property information and achieved top 5 out of 137 participants.
- Developed an advanced stacking solution, outperforming all original submissions.
- Report: PDF | Code: GitHub
Basketball Breakdown: NCAA Shiny App | STA 532 R Programming Course Project
Dec. 2024- Designed and developed the Competition Analysis and Schedule pages.
- Integrated all pages into a cohesive shiny app.
- Enhanced user experience with animations for loading, smoother page navigation, and partial optimizations for the Prediction page.
- App: NCAA Data Archive | Report: PDF | Code: GitHub
LSTM-GRU Hybrid Network | Time Series Analysis Course Project
Feb.–Mar. 2024- Preprocessed PM2.5 pollution data from Chengdu.
- Designed an LSTM-GRU hybrid network, inspired by GoogLeNet, achieving a 30% error rate reduction over standard LSTM models.
- Report: PDF | Code: GitHub
PRESENTATION
Probability Theory Seminar | Presenter
Apr. 2023- Delivered a special presentation with more than 10 fellow students, focusing on random matrix methods.
- The slides are available here.
TEACHING
Linear Algebra B1 | Teaching Assistant
Mar. 2023–Jul. 2023- Built the course homepage and served as the group leader, managing a course group with over 100 students.
- Organized weekly problem-solving sessions during weekends, spending over 40 hours of personal teaching time, and engaging with more than 200 participants, showcasing strong teaching and communication skills.
- Independently completed solution sets for over 100 post-course exercises and provided analysis and answers to all past exam papers.
INTERNSHIP
Thermo Fisher Scientific | Data Cleaning Internship
Sep. 2023–Dec. 2023- Cleaned and categorized more than 2000 customer data queries and matched them with Excel.
- Wrote Excel functions to add wildcards to the dataset to be cleaned, significantly improving team efficiency.
- Summarized the data cleansing techniques and conducted team training sessions.
AWARDS & HONORS
- Outstanding Graduate from the University of Science and Technology of China (USTC), Class of 2024 (Top 20%).
- China Petroleum Scholarship (2023): Awarded to only 3 students in the School of the Gifted Young at USTC.
- Excellent Teaching Assistant (Spring 2023): Ranked in the top 3 at USTC, among over 1000 TAs.
- Silver Prize for Outstanding Student Scholarship (2022 and 2021): Awarded to the top 15% of students at USTC.
- First Prize in the Chinese Mathematical Competitions for University Students (2022 and 2021): Ranked in the top 1% of all participants.
- Excellent President of the School Club (2022).
- QiangWeiFengGongDeYu (Diligence and Moral Conduct) Scholarship (2022).
- Bronze Prize for Outstanding Freshmen Scholarship (2020): Awarded to the top 35% of students at USTC.
ACTIVITIES & LEADERSHIP
Origami Club, USTC | President
Jun. 2021–Jun. 2022- Designed and organized the first origami exhibition “Vividly Comes to Life on Paper” in USTC.
- Conducted origami teaching sessions twice per month, sharing the art of origami with over 200 participants.
Hefei Chunyu Parent Support Center for Intellectually Disabled Children | Volunteer
Sep. 2021–Jan. 2022- Played basketball with autistic children and helped coaches to keep order in class once per week.
ADDITIONAL INFORMATION
Language:
- Chinese (Mandarin and Sichuanese dialect), English (TOEFL 103 with 23 in Speaking)
Programming & Software Skills:
- Python (main), R, LaTeX, C, MATLAB, HTML, CSS, SPSS, Office, etc.
Interests:
- Origami, click here to see my artwork.