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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 to address high-impact, real-world problems. Her work encompasses generalized learning-based methods for decision-making, systems-on-chip design, self-improving AI models, and scalable deep learning optimization. Prior to her academic career at Stanford, she worked in industry AI labs, including Anthropic and Google Brain, where she advanced the capabilities and reliability of large language models. At Google Brain, she co-founded the ML Systems team, which focused on automating and optimizing computer systems for chip design. Azalia has received several accolades for her work, including the MIT Technology Review’s 35 Innovators Under 35 Award and the ECE Thesis Award from Rice University. Her research has been published in prominent venues such as Nature and has garnered coverage from media outlets including MIT Technology Review and IEEE Spectrum.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.