Synthesizing Longitudinal Cutaneous Neurofibroma Imaging for Digital-Twin Burden Quantification
The 1st MICCAI Workshop on Medical World Models, 2026
I am currently a Computer Science undergraduate at UC Berkeley and a researcher with Stanford Medicine’s Gevaert Lab. My work focuses on computer vision, medical imaging, and machine-learning systems.
My current research interests lie in robust visual learning, synthetic data, and biomedical AI. I also build scientific and creative software, including research workspaces, agent tools, forecasting interfaces, and tools for DJs. I am currently building Infrastruct.
News
- : Completed my Canary CREST research internship and presented the final research poster. Poster
- : Our cutaneous neurofibroma digital-twin work will appear at the inaugural MICCAI Workshop on Medical World Models.
Selected Publications
Eye For An Eye: A Deep-Learning and Analytical Method to Spatializing Stereoscopic Images
National High School Journal of Science, 2025
Education
B.A. in Computer Science
Experience
Research · Computational Medicine & Dermatology
Research Intern
Medical imaging, segmentation robustness, and physiology-informed augmentation.
Research Intern
Developed and presented a physics-guided cNF medical digital-twin project.
Internal & Research Committee
Machine learning engineer building applied ML systems for industry partners.
Industry Project · Machine Learning Engineer
Video-conferencing intelligence and meeting-room readiness modeling.
Side Projects
LanternTrace Explorer
A physics-based approach to track and predict the invasion of the spotted lanternfly across the U.S. East Coast.
Set Player
A memory layer for DJ sets that connects recordings to Rekordbox history, timed tracks, live lyrics, photos, and places.
Misc.