Aakanksha Chowdhery
Research Leader, Reflection AI
San Francisco, California, United States
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Aakanksha Chowdhery is a Research Leader at Reflection AI pushing the frontier of reasoning for coding agents. She is also an adjunct faculty at Stanford. Before her startup journey, she was the technical Lead of 540B PaLM model and lead researcher at Google in pre-training, scaling, and post-training of Large Language Models. She was a lead researcher in Gemini, PaLM-E, MedPaLM, and Pathways project at Google. Prior to joining Google, she led interdisciplinary research initiatives at Microsoft Research and Princeton University across machine learning and distributed systems.
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Post-Training Open Models with RL for Autonomous Coding
The models and techniques required to build fully autonomous coding agents - not just coding copilots - are already emerging. In this talk, Aakanksha Chowdhery, former lead researcher on Gemini and now Research Lead at Reflection, will present the latest research trends on enabling post-training advancements in open-weight LLMs for autonomous SWE tasks. She'll focus on how scaling LLMs with Reinforcement Learning improves the autonomous coding capabilities of LLMs, and provide insight on the technical challenges required to train such systems at scale.
Aakanksha Chowdhery
Research Leader, Reflection AI
San Francisco, California, United States
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