/research
Research
I conduct independent research in AI security and synthetic media detection—with a focus on deepfakes, GAN-generated imagery, multimodal detection, and model robustness under real-world conditions. I study what breaks when AI leaves the lab—especially domain shift, compression, and generators the benchmark never saw. Full paper titles, methods, and numbers live on the Projects page.
/recognition
Venues & recognition
IEEE ICAIC 2026 (Houston) — invited presenter; only high school presenter
Two papers accepted: domain-shift protocol and Enhanced Model Paradox; quad-stream deepfake detection. Both patent pending. IEEE conference attended by industry experts, graduate students, PhD researchers, and academic professionals.
MIT IEEE URTC 2025 — first author, GAN-based satellite deepfake detection
GAN-Based Detection of Synthetically Generated Satellite Imagery — IEEE Xplore forthcoming. Invited presentations at the Esri International User Conference (18,000+ professionals) and King's College, University of Cambridge.
Patents — 2 pending; Davidson Fellowship — submitted, pending
Patents cover domain-shift evaluation methodology and quad-stream detection architecture. Davidson submission on domain shift in deepfake detection.
Conrad Challenge — Top 5 global finalist (DeepTrust)
Advanced DeepTrust to the Conrad Challenge Finals, placing among the Top 5 global finalists. Competition validation alongside peer-reviewed publication track.
Blue Ocean Entrepreneurship Competition — Top 100 Global
Selected from approximately 24,000+ students across 160+ countries.
Mott Million Dollar Challenge — semifinalist
Entrepreneurship recognition for DeepTrust.
Science fairs — California State 4th Place; Contra Costa County 1st & 2nd
- California State Science Fair — 4th Place
- Contra Costa County Science & Engineering Fair — 1st Place
- Contra Costa County Science & Engineering Fair — 2nd Place (×2)
Stanford Pre-Collegiate Summer Institute — Discrete Mathematics (2024); faculty recommendation
Intensive summer program in discrete math and proof-oriented work.