Stanford University
Showing 21,201-21,210 of 36,193 Results
-
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.
-
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. -
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.
-
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.
