Stanford University
Showing 24,201-24,210 of 41,432 Results
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Azalia Mirhoseini
Assistant Professor of Computer Science
BioAzalia Mirhoseini is an Assistant Professor in the Computer Science Department at Stanford University. Professor Mirhoseini's research interest is in developing capable, reliable, and efficient AI systems for solving high-impact, real-world problems. Her work includes generalized learning-based methods for decision-making problems in systems and chip design, self-improving AI models through interactions with the world, and scalable deep learning optimization. Prior to Stanford, she spent several years in industry AI labs, including Anthropic and Google Brain. At Anthropic, she worked on advancing the capabilities and reliability of large language models. At Google Brain, she co-founded the ML for Systems team, with a focus on automating and optimizing computer systems and chip design. She received her BSc degree in Electrical Engineering from Sharif University of Technology and her PhD in Electrical and Computer Engineering from Rice University. Her work has been recognized through the MIT Technology Review’s 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, IEEE Spectrum, The Verge, The Times, ZDNet, VentureBeat, and WIRED.
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Pardis Miri
Postdoctoral Scholar, Genetics
BioPardis Miri, PhD, is a postdoctoral fellow at Stanford University where she is focused on building technology to facilitate mental well being. With a PhD in computer science and years of training in area of affective science (under the supervision of Professor James J. Gross), Pardis has assembled a unique team (see http://wehab.stanford.edu) to not only run clinical studies to evaluate their efficacy in changing emotion, mood, and stress but also build product-ready technology.
Pardis is the principal investigator of a large multi-disciplinary project (FAR) to design, build, and evaluate a wearable system tailored to the needs of children with emotion dysregulation, especially children diagnosed with autism spectrum disorder. FAR aims to empower them to manage their problem behaviors in a more adaptive way. The FAR project involves collaborations between the departments of Computer Science, Psychology, Mechanical Engineering, and the School of Medicine at Stanford University.
Pardis is being advised by Professors Micheal Snyder, Professor Keith Marzullo at the University of Maryland iSchool, whose research is on distributed systems, and by Professor James Gross, whose research underlies much of what we now know about emotion regulation. She is also working with Professor Antonio Hardan of the Stanford School of Medicine, whose research is on children with Autism Spectrum Disorder.
