School of Humanities and Sciences
Showing 1-10 of 150 Results
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Pavan Yadav
Postdoctoral Scholar, Chemistry
BioI am a Postdoctoral Researcher at Stanford University, California, United States of America (CA, USA). I am passionate about using my skills and research knowledge to impact the world positively. I believe that my research has the potential to help us address some of the world's most pressing challenges at a worldwide level. I am excited to continue my research and contribute to developing novel technologies and novel drug delivery carrier systems to help us create a more sustainable future.
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Shizuka Yamada-Hunter
Affiliate, Biology
BioI earned my B.S. and M.S. from the University of Arizona in Cell and Molecular Biology. At the University of Arizona, I conducted research and my dissertation in Daniela Zarnescu’s lab studying amyotrophic lateral sclerosis (ALS) using fruit flies as a model system. I then continued to study ALS at Stanford University in Aaron Gitler’s lab where I earned my Ph.D. in Biology.
I am passionate about teaching science to diverse groups of students and have now transitioned to full-time teaching. I have taught first year liberal arts classes at Stanford including Our Genome (THINK68), Living with Viruses (THINK61), and The Cancer Problem (THINK23). In the Biology department at Stanford, I have taught Problem Solving with Infectious Diseases, Biochemistry, Genetics, and microbiology and introductory biology lab series. At Foothill College as tenure-track faculty, I teach the Anatomy and Physiology series and Microbiology Lab and Lecture. -
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.
