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 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 enabling AI Red Team with graph queries, amazon working on transformers, and Sony AI working on multi-modal models.
📚 Publications
Please refer to my Google Scholar for more detail.
KDD Workshop on Evaluation and Trustworthiness of Agentic and Generative AI Models (oral), 2025
International Workshop on Multimodal Learning at SIGKDD, 2023
Transactions on Machine Learning Research (TMLR)