Bio

I’m a skilled Computer Science and Statistics student at Wake Forest University, with a particular focus on High Performance Computing (HPC), Efficient and Scalable Machine Learning, Numerical Methods, and other key subjects. As an Undergraduate Research Assistant at Wake Forest IRSC Laboratory, I apply deep learning methodologies and quantitative techniques to intricate computer vision projects, involving semantic segmentation, object classification, and image data processing.


Education

  • Duke University, Durham, NC

    • Master of Science in Statistics, in-progress

  • Wake Forest University, Winston-Salem, NC

    • Bachelor of Science in Computer Science, May 2024
    • Second Major (B.S.) in Statistics
    • Dean’s List: All semesters, Summa Cum Laude
    • Dissertation: ”Communication Avoiding Coordinate Descent Methods On Kernel And Regularized Linear Models” PDF
    • Advisor: Dr. Aditya Devarakonda
    • Relevant Coursework: Python, C, R, Java, Statistical & Machine Learning, Statistical Inferences, Linear Models, Multivariate Analysis, Probability, Network Theory & Analysis, Advanced Data Structures and Algorithms, Assembly Languages, Computer System, Multivariate Calculus, Linear Algebra, Discrete Mathematics, Time Series Forecasting, Special Topics – Computer Vision, High-Performance Computing, Parallel Computing, Numerical Methods

  • Shanghai Weiyu High School, Shanghai, China