Dr. Azalia Mirhoseini

Biography

Azalia Mirhoseini is an Assistant Professor in the Department of Computer Science at Stanford University. Her research focuses on developing capable, reliable, and efficient artificial intelligence (AI) systems that address high-impact, real-world problems. This includes generalized learning-based methods for decision-making problems, systems on chip design, and self-improving AI models that interact with the world. She also specializes in scalable deep learning optimization. Prior to her academic tenure at Stanford, Mirhoseini spent several years in industry AI labs, including at Anthropic and Google Brain. At Anthropic, she contributed to advancing the capabilities and reliability of large language models, while at Google Brain, she co-founded the Machine Learning Systems team, which focused on automating and optimizing computer systems for chip design. Her work has received several accolades including the MIT Technology Review’s 35 Innovators Under 35 Award and the ECE Thesis Award from Rice University. Additionally, her research has been published in prestigious venues such as Nature, and has garnered coverage from various media outlets, including MIT Technology Review, IEEE Spectrum, and WIRED.

Research Interests