Stanford University
Showing 20,551-20,560 of 35,021 Results
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Azalia Mirhoseini
Assistant Professor of Computer Science
BioAzalia Mirhoseini is an Assistant Professor of Computer Science at Stanford University where she directs Scaling Intelligence, a lab focused on developing scalable and self-improving AI systems. She is a co-founder of Ricursive Intelligence, a frontier lab dedicated to recursive self-improvement through AI that designs the chips that fuel it. Previously, she spent several years in industry AI labs, including Google Brain, Anthropic, and Google DeepMind, working on Gemini and Claude, among other projects. Her past work includes Mixture-of-Experts (MoE) neural architectures, now predominantly used in leading frontier AI models; AlphaChip, a reinforcement learning approach for layout optimization used in the design of advanced chips like Google AI accelerators (TPUs) and data center CPUs; as well as pioneering research on LLM Test-Time Scaling. Her work has been recognized through the Okawa Research Grant, the Google ML and Systems Junior Faculty Award, 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 WSJ, NYT, Forbes, MIT Technology Review, IEEE Spectrum, WIRED, and TechCrunch.
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Pardis Miri
Basic Life Research Scientist, Genetics
BioPardis Miri, PhD, is a Research Scientist and former Postdoctoral Fellow at Stanford University, where she develops technology aimed at improving mental well-being. She holds a PhD in Computer Science and has extensive training in affective science under Professor James J. Gross. Pardis leads a multidisciplinary team (http://wehab.stanford.edu
) conducting clinical and real-world studies to assess how wearable technologies can reduce stress and enhance glymphatic flow in early-stage Alzheimer’s patients.
During her postdoctoral work, Pardis served as the principal investigator of FAR, a multi-disciplinary project to design, build, and evaluate an end-to-end wearable system for children with emotion dysregulation, including those diagnosed with autism spectrum disorder. FAR aims to support more adaptive emotion-regulation strategies through a combination of systems design and behavioral research.
Pardis is advised by Professors Michael Snyder, Keith Marzullo, and James J. Gross, and collaborates with Professor Antonio Hardan of the Stanford School of Medicine on research involving children with autism spectrum disorder. -
Hadia Irfan Miriam
Affiliate, Stanford Online High School
BioHi.
I am currently a Stanford OHS Junior. I live in Des Plaines, IL.
Interests: Biology, Statistics, Journaling, Spending time with my friends (: -
Vijay Mirmira
Adjunct Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Mirmira believes that excellent communication leads to excellent care, and is dedicated to the health and well-being of his patients and their families. He is fluent in English, Hindi, Tamil and Kannada and has working knowledge of Urdu and Telugu. Apart from enjoying practicing the full scope of family medicine, Dr. Mirmira's special interests include diabetes and thyroid disorders, and pediatric illnesses. He likes to travel and read fiction in his free time.
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Mohammad Javad Mirshojaeian Hosseini
Postdoctoral Scholar, Chemical Engineering
BioWith over Seven years of experience, my work focuses on designing, fabricating, and characterizing flexible nanostructures and organic neuromorphic circuits. My expertise extends to hands-on experience in ISO 4 cleanrooms and fabrication labs, employing a variety of techniques such as electron beam and thermal PVD, ALD, sputtering, photolithography, CVD, profilometry, and wet chemical processing. I have a strong foundation in advanced materials and technologies, including neuromorphic systems, nanofabrication, biosensors, lab-on-a-chip technologies, printing electronics, and organic nanoelectronics.
Currently, I am a postdoctoral researcher at Stanford University, where I explore stretchable neuromorphic e-skin and flexible electronics, particularly for biopotential monitoring and soft robotics applications. My multidisciplinary expertise enables me to contribute to projects that combine neuromorphic computing, smart materials, and neuroscience. These align with my long-term research goals of advancing neuromorphic systems and developing novel technologies at the interface of artificial intelligence, smart materials, and organic electronics.
