Open to Opportunities

Hi, I'm Yu-Lun (Jason) Yeh

Applied Mathematics MS student specializing in computer vision, deep learning, and quantitative finance. I turn mathematical ideas into practical, data-driven solutions.

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About Me

Turning Math into Impact

I'm a master's student at National Sun Yat-sen University, pursuing Applied Mathematics with a focus on statistics. My thesis research centers on survival analysis and copula-based dependence modeling.

Beyond academia, I actively build projects across computer vision, deep learning, and quantitative finance — from implementing Vision Mamba architectures to constructing financial network models. I'm passionate about bridging rigorous mathematical foundations with practical engineering solutions.

I'm currently seeking opportunities in data science, machine learning engineering, or quantitative analysis where I can apply my cross-disciplinary skill set.

Projects

Domains

CV/DL Models

Languages (Python/R/C++)

Tech Stack

Skills & Technologies

💻 Programming

Python R C / C++ SQL LaTeX Git

🤖 ML / AI

Deep Learning Computer Vision Object Detection Diffusion Models Transformers LLM API Integration

📊 Statistics

Survival Analysis Statistical Inference Monte Carlo Regression Classification Nonparametric Methods

🔧 Libraries & Tools

PyTorch scikit-learn pandas NumPy OpenCV Ultralytics ONNX Runtime CMake Docker FastAPI matplotlib Jupyter Linux

Experience

Research & Work

Master's Thesis Research

National Sun Yat-sen University • Sep 2024 – Present

Developed a novel inference framework for Cox proportional hazards models incorporating ordinal markers and copula-based dependence structures
Built end-to-end analysis pipelines in R and Python for simulation studies, statistical estimation, and model validation
Conducted Monte Carlo simulations to evaluate estimator performance across varying sample sizes, censoring rates, and copula families

Academic Projects Portfolio

Self-directed & Coursework • 2023 – Present

Implemented state-of-the-art architectures (Vision Mamba, Transformer, DDPM/DDIM, YOLOv10) across 10+ projects
Covered 4 domains: Computer Vision, Deep Learning, Statistics, and Quantitative Finance
Built an AI-powered portfolio website with LLM chatbot integration to showcase projects

Education

Academic Background

National Sun Yat-sen University

M.S. in Applied Mathematics (Statistics) • Expected July 2026

Thesis: Inference for a Cox Proportional Hazards Model with an Ordinal Marker and Copula Dependence

Get in Touch

Contact Me

Feel free to reach out for opportunities or collaborations

✉

Email

jason910522@gmail.com

🛠

GitHub

jeason522

👤

Yu-Lun Yeh