Anthropic
Isaac O. currently serves as a Member of Technical Staff at Anthropic, focusing on pretraining research and engineering since 2024. Concurrently, Isaac O. is a Graduate Researcher at the Berkeley RISE Lab, leading the LMSYS team on RouteLLM and has published a thesis optimizing transformer inference in communication-constrained environments. Previous experience includes a Research Intern role at Reka AI, where Isaac O. optimized multimodal inference and long-context modeling, and Graduate Researcher work at the Center for Human-Compatible AI, resulting in a publication on adversarial robustness of LLMs. Isaac O. has held software engineering positions at Citadel Securities, Monad Labs, Google, Motional, and Bot MD, with a strong emphasis on low-latency systems and data transmission. Isaac O. is pursuing a Master’s degree in Electrical Engineering and Computer Sciences at the University of California, Berkeley.
Anthropic
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Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues. For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.