MATS mentors are advancing the frontiers of AI alignment, transparency, and security
Jason is a Member of Technical Staff at OpenAI working on alignment and model behavior.
James is a Researcher at OpenAI working on model personality, post-training, and personalization.
Gabriel Wu is an AI alignment researcher at OpenAI. Previously, he directed the AI Safety Student Team at Harvard, where he earned a Master's degree in Computer Science and a bachelor's degree in Mathematics.
Evan is a research scientist at SecureBio Detection, where he works on computational pipelines and detection methods for uncovering threats in deep metagenomic sequencing data. Prior to transitioning his career into biosecurity, he was the VP of data science and engineering at Zoba, a startup providing optimization services to the shared mobility industry. He holds a PhD in operations research and, in his free time, devotes lots of thought cycles to sourdough pizza.
Xiangyu is a researcher at OpenAI, where he works to make LLMs robust. Previously, he obtained his Ph.D. from Princeton University, advised by Prof. Prateek Mittal and Prof. Peter Henderson.
Ollie is a researcher on OpenAI’s Alignment team interested in red-teaming and control. He was previously on the Control team at UK AISI.
Tom is a research scientist at OpenAI, working on interpretability of language models, for AI safety. He was also a core developer of scikit-learn between 2015 and 2022.
Juan is a researcher in OpenAI’s Safety Systems team. He is broadly interested in mitigating catastrophic risks. He works on adversarial robustness training and automated red-teaming (recent work).
Kaiwen is a researcher at OpenAI working on AI Safety and RL. He earned his Ph.D. from Cornell Tech, where he researched and taught RL, causal inference, and LLMs.
He previously worked at Google, Microsoft, and Netflix on projects spanning core RL theory to scalable LLM algorithms. Before grad school, Kaiwen spent two years at Facebook building the RL Platform.
Sam is a Research Engineer on OpenAI’s Alignment team. He previously worked in NYU’s Alignment Research Group on scalable oversight and as a Software Engineer at Amazon. His research includes training language models to win debates with self-play, and recent OpenAI work on auto-review for agent actions.