Stanford University

Showing 1-10 of 115 Results

• Jason Ya

  Clinical Instructor, Dermatology
  

  • Contact Info

    Mail Code: 5168

    jya@stanford.edu
• Carl Yaeger

  Clinical Assistant Professor, Pediatrics - Neonatal and Developmental Medicine
  
• 

  Belgin Yalcin

  Instructor, Neurology
  

  • Contact Info

    Mail Code: 5462

    yalcinb@stanford.edu
• Irvin Yalom

  Professor of Psychiatry and Behavioral Sciences, Emeritus
  

  • Contact Info

    idy@stanford.edu

  • Web page:

    http://www.yalom.com
• 

  Nicole Yamada

  Clinical Professor, Pediatrics - Neonatal and Developmental Medicine
  
• Ko Yamamoto

  Visiting Associate Professor, Mechanical Engineering
  

  • Contact Info

    • 424 PANAMA MALL
    • STANFORD, California 94305

    yamamoto.ko@ynl.t.u-tokyo.ac.jp
• 

  Yoshihisa Yamamoto

  Professor of Electrical Engineering and of Applied Physics, Emeritus
  

  Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information

  • Contact Info

    • Edward L. Ginzton Laboratory
    • Spilker Engineering & Applied Sciences #303
    • Stanford University
    • Stanford, California 94305-4088

    Mail Code: 4088

    (650) 723-5320 (fax)

    yosihisa@stanford.edu
• 

  Irena Yamboliev

  Lecturer
  

  Current Research and Scholarly InterestsSPECIALIZATION: Literature and Culture of 19th- and 20th-Century Britain; Aesthetics; Narrative Theory; Science and its Rhetoric; Color Theory; Digital Humanities; Writing Pedagogy; Queer Theory

  • Contact Info

    Mail Code: 3069

    irenay@stanford.edu
• 

  Ghiam Yamin

  Adjunct Clinical Instructor, Radiology
  
• 

  Daniel Yamins

  Associate Professor of Psychology and of Computer Science
  

  Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
  
  H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
  
  H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
  
  We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.

  • Contact Info

    Mail Code: 2130

    yamins@stanford.edu

  • Other Names:

    Dan Yamins