A selection of quantitative research, software, and data engineering projects — built across academic coursework, research clubs, and professional internships.
January 2026 – May 2026
Sparse Linear Image Modeling
Led a six-member team building a computer vision and machine learning system that reconstructs images from a limited set of strategically selected linear strokes.
- Python
- NumPy
- SciPy
- scikit-learn
- PyTorch
- +3 more
January 2026 – May 2026
Quantitative Sports Modeling: NBA Offensive Impact Across Eras
Developed a quantitative model that normalizes NBA player and team offensive impact across thirty seasons, making performances more comparable across changing styles and pace of play.
- Python
- pandas
- nba_api
- OLS Regression
- Bayesian Smoothing
- +1 more
June 2023 – July 2023
CERN MadGraph5 Architecture Module
Developed a Python system architecture module at CERN that organized CPU and GPU hardware information for Linux environments supporting MadGraph5 particle collision simulation workflows.
- Python
- Linux
- CPU/GPU Profiling
- Distributed Computing
- HPC