Speakers
Azalia Mirhoseini
Azalia Mirhoseini is an Assistant Professor of CS at Stanford University and founder of Ricursive Intelligence, a frontier lab dedicated to recursive self- improvement through AI that designs the chips that fuel it. Previously, she worked on Gemini at Google DeepMind, Claude at Anthropic and was also a researcher at Google Brain. Her past work includes Mixture-of-Experts (MoEs), now commonly used in frontier models like ChatGPT and Gemini, AlphaChip, a pioneering work in AI for chip design used for layout optimization in advanced chips like TPU, and pioneering work on test-time scaling. She received her PhD in ECE from Rice University. Her work has been recognized through the Okawa Research Grant, MIT Technology Reviews 35 Under 35 Award, the Best ECE Thesis Award at Rice University, publications in flagship venues such as Nature, and coverage by various media outlets, including MIT Technology Review, and Wall Street Journal.
Aviral Kumar
Aviral is an Assistant Professor of ML and CS at CMU, where he started in Fall 2024. His work broadly focuses on RL, in a variety of contexts. He is most recently excited about fundamental principles involving scaling up RL in a several downstream problem domains.
Nathan Lambert
Nathan Lambert is a Senior Research Scientist and post-training lead at the Allen Institute for AI focusing on building open language models. At the same time he founded and operates Interconnects.ai to increase transparency and understanding of current AI models and systems. Previously, he helped build an RLHF research team at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D.
Michael Hahn
Michael Hahn received his PhD from Stanford University in 2022, advised by Dan Jurafsky and Judith Degen. He is now an Assistant Professor at Saarland University, Germany. His research focuses on the theoretical foundations and inner workings of LLMs.