Azalia Mirhoseini

At-a-Glance

Assistant Professor of Computer Science at Stanford University, directing the Scaling Intelligence lab focused on scalable and self-improving AI systems.
Co-founder of Ricursive Intelligence, a frontier lab dedicated to recursive self-improvement through AI.
Co-creator of Mixture-of-Experts (MoE) neural architectures, predominantly used in leading generative AI models.
Co-creator of AlphaChip, a pioneering work on deep reinforcement learning for layout optimization in chip design.
Pioneering research on LLM Test-Time Scaling.
Previously worked at Google DeepMind, Anthropic, and Google Brain, contributing to Claude and Gemini.
Recipient of MIT Technology Review's 35 Under 35 Award.

Biography

Azalia Mirhoseini is the co-founder of Ricursive Intelligence, a frontier lab dedicated to recursive self-improvement through AI that designs the chips fueling it. She is also an Assistant Professor of Computer Science at Stanford University, where she directs the Scaling Intelligence lab. Her lab focuses on developing scalable and self-improving AI systems and methodologies toward the goal of artificial general intelligence.