Jorge Diaz Chao

I am a senior Physics and Computer Science student at the University of California, Berkeley. I work at the intersection of Computer Vision and Machine Learning, fields I love for their deep connection to intelligence and their transformative potential.

I am particularly interested in models that discover structure directly from nature and building tools smart and intuitive enough to blend into everyday life as natural extensions of ourselves.

Featured

iCloset — An AI-powered virtual wardrobe that understands your unique style, delivering personalized, context-aware outfit suggestions and actionable wardrobe insights for smarter shopping and sustainable fashion.

Site

2os by Buzzer — A suite of ML methods for the future of spatial computing I/O. Optimizing architectures and training for fast adaptation to novel gestures for seamless interaction with the environment and for online, high-frequency typing inference.

Projects

Quick MAML — A lightweight PyTorch Model-Agnostic Meta-Learning (MAML) training framework enabling intuitive experimentation and quick prototyping.

Code

Apex Flight — Advanced model rocketry and flight simulation. Quaternion-based guidance for thrust vector control, non-pyro cargo and recovery modules, and custom avionics. A life changer.

Film Technical Report