About
Trained as a painter. Working in applied AI.
My background is in photorealistic painting, and it is still how I judge an image: by composition, light, colour and proportion. That habit runs through the work here — an archive curated the way you would hang a show, a prompt instrument built from photographic decisions, and studies that measure whether models actually respond to the language we give them.
The other half is engineering. I adapt open models to run well on Apple Silicon, publish them with their measurements, and build production software, including an online pre-licensing course for New York State.
I study neuroscience and economics at the University of Rochester and live in New York.
Experience
- 2026
Summer Analyst
Quadrant Capital Advisors, New York
Research automation for public-equity and credit review.
- 2026 —
Gesso Club, New York
- 2025 —
DriverCourseOnline, New York
- 2022–23, 2024
Research Assistant
Abilities Research Center, Mount Sinai Hospital, New York
Heart-rate variability and movement data from 752 adolescent athletes; sensor fusion for phone orientation; head-rotation angles from facial-landmark tracking.
Research
- 2025
Use of Smartphone Application Assessment of Heart Rate Variability in Baseline Concussion Assessments of Adolescent Student Athletes
Co-author. ACSM Annual Meeting; Medicine & Science in Sports & Exercise
- 2026
Filmstock responsiveness in image models
Sole author. Study, paper and September 2026 replication
- 2026
Criticality in binary sparse coding (opens in a new tab)
Simulation study
Education
- 2027
B.S. Neuroscience, B.A. Economics
University of Rochester, Rochester, NY
Coursework includes advanced computational neuroscience, brain–machine interfaces, statistical methodology and data methods for economists.
- 2025
Data Science & AI Certificate
Noble Desktop, New York
Tools
Python, TypeScript, MLX, PyTorch, NumPy, SciPy, pandas, scikit-learn, SQL, ComfyUI, Node.js, MNE-Python