Daniel Shin

I am a Master's student in Computer Science at Stanford University, focused on reinforcement learning, human-AI interaction, and multi-agent systems.

Before Stanford, I was an undergraduate researcher at UC Berkeley, where I was fortunate to be advised by Professors Sergey Levine , Anca Dragan , and Daniel Brown .

Previously, I have interned at Microsoft working on converting natural language to graph queries as a part of the AI security team, amazon working on streaming transformers to improve latency in self-checkout stores, and Sony AI working on multi-modal models for olfactory perception.