About

I am a Computer Science and Economics graduate from Arizona State University and will start soon as a Quantitative Researcher. I am most interested in statistical learning, optimization, market microstructure, and data engineering. Across projects, I tend to care about the same questions: how to structure noisy data, how to test ideas rigorously, and how to turn research into reliable systems.

My technical toolkit is centered on Python, pandas, NumPy, scikit-learn, PyTorch, SQL, and modern TypeScript tooling. I have also worked on research and software problems outside finance, including machine learning systems for biotech and academic image enhancement research.