About

I am a Computer Science and Economics senior at Arizona State University and an incoming Quantitative Researcher this summer. My work focuses on empirical research in markets and on building tools that make research workflows more reliable and efficient.

I am most interested in statistics, econometrics, machine 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 systems that are actually usable.

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.