Ph.D. Candidate, HEPCAT Fellow / Sloan Scholar, and quant dev who loves surfing, cycling, and living in San Diego! ☀️🌴🐠
My background is in experimental physics, optical instrumentation, and high-dimensional data analysis, with a focus on signal detection, anomaly detection, and large-scale scientific computing. Currently working with Dr. Shelley Wright in UCSD’s Optical & Infrared Laboratory on the assembly, integration, and validation of PANOSETI telescope modules using SiPM detectors for fast-transient optical searches. Outside of the lab, I build ML-driven quantitative trading and forecasting models using a physics-based approach to noisy, high-dimensional environments.
🧠 Machine learning for forecasting + signal detection
☁️ NLP-based sentiment analysis w/ensemble modeling
🔭 Optical instrumentation for high-energy astrophysics
⚡ Nanosecond-scale transient detection pipelines
- Ph.D. Candidate — UC San Diego
- M.S. Astrophysics — UC San Diego
- B.S. Physics — Cal Poly Humboldt
- Previous NASA GSFC Intern
Python • PyTorch • SQL • Linux • API Development • Time-Series Modeling • Web Scraping • ML Systems • NLP • Bloomberg Terminal & OpenBB • Scientific Instrumentation
Time-Domain Astrophysics • Quantitative Finance • AI/ML • Statistical Signal Processing