Stanford University
Showing 34,801-34,850 of 36,323 Results
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Eitan Yaffe
Affiliate, Medicine - Med/Infectious Diseases
BioDr. Eitan Yaffe is a computational biologist studying the evolution of natural microbial communities under selective pressures, such as antibiotics. He is currently a research associate in the lab of Dr. David Relman at Stanford University, where he develops experimental and computational approaches to investigate strain dynamics, horizontal gene transfer, and the emergence of antimicrobial resistance in the human microbiome.
Dr. Yaffe holds a PhD in Computer Science from the Weizmann Institute of Science, where he focused on epigenetics and chromatin folding. He earned his MSc in Computer Science with a specialization in the 3D structure of protein channels, and his BSc in Mathematics and Computer Science from the Hebrew University of Jerusalem. -
Lisa Yamada
Software Developer 2, SoM - CNC - Cracking the Neural Code
BioLisa Yamada is a PhD candidate in Electrical Engineering, working with Professor Paul Nuyujukian in the Brain Interfacing Laboratory at Stanford University. She is interested in applying data science and engineering tools for medical applications towards higher quality and more equitable care. As a computational neuroscientist and clinical research coordinator, she is currently investigating quantitative measures for seizure analyses using human neuroelectrophysiology data (e.g., intracortical EEGs of participants with refractory epilepsy). She graduated from Trinity College (Hartford, CT) with BS degrees in Electrical Engineering and Mathematics and earned her MS in Electrical Engineering from Stanford University. In her free time, she enjoys outdoor activities like hiking.
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Yoshihisa Yamamoto
Professor of Electrical Engineering and of Applied Physics, Emeritus
Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information
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Irena Yamboliev
Advanced 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
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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.