chueric [AT] google.com
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I’m a Research Scientist at Google DeepMind, where I work on full-stack LLM research. I am currently working on AI models that can act as agents through reasoning, coding, and tool use, including reinforcement learning from various forms of feedback.
I’ve been a core contributor to Gemini V1 - V2.5, PaLM 2, and Bard. I co-led various RL and data efforts, including coding for PaLM 2 and Bard modeling.
My ultimate goal is to develop AI that can benefit humans and society (e.g. creativity, scientific advancement, education). Towards that end, I also like to use real-world applications to motivate methods and understanding of how models work. I have also worked extensively at the intersection of capabilities and AI alignment research.
Previously, I did my PhD at MIT, advised by Deb Roy in the Media Lab and Jacob Andreas in CSAIL. I interned at Facebook AI Research with Jason Weston and Stephen Roller, and Google Brain with Peter Liu. Before that, I was briefly a data scientist at Facebook, building human-AI systems and multimodal classifiers for ads moderation. I did my undergrad at UC Berkeley, where I tried research in biomedical imaging, protein folding, and topological data analysis.
Machine learning, natural language processing, and generative models