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Professor of Electrical Engineering
BioTsachy's research focuses on Information Theory, Data Compression and Communications, Statistical Signal Processing, Machine Learning, the interplay between them, and their applications, with recent focus on applications to genomic data compression and processing. He is inventor of several patents and involved in several companies as member of the technical board. IEEE fellow, he serves on the board of governors of the information theory society as well as the editorial boards of the Transactions on Information Theory and Foundations and Trends in Communications and Information Theory. He is founding Director of the Stanford Compression Forum.
Assistant Professor of Environmental Earth System Science and, by courtesy, of Biology
Current Research and Scholarly InterestsBiosynthesis of lipid biomarkers in modern microbes; molecular geomicrobiology; microbial physiology
Francis W. Bergstrom Professor of Chemistry and Professor, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsMolecular imaging, therapeutics, drug delivery, drug mode of action, synthesis
Associate Professor of Pathology and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsEpigenetic Reprogramming, Direct conversion of fibroblasts into neurons, Pluripotent Stem Cells, Neural Differentiation: implications in development and regenerative medicine
Professor of Pathology at the Stanford University Medical Center
Current Research and Scholarly InterestsMy laboratory studies the molecular events that lead to and sustain cancers, including breast cancer and other epithelial cancers, using high through put sequencing and other techniques.
Lynn Marie Westphal, MD
Professor of Obstetrics and Gynecology (Reproductive Endocrinology and Infertility) at Stanford University Medical Center
Current Research and Scholarly InterestsInfertility, fertility preservation, oocyte cryopreservation
Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science
BioGordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Lab, an interdisciplinary research group focused on advancing imaging, microscopy, and display systems. At the intersection of computer graphics, machine vision, optics, scientific computing, and perception, Prof. Wetzstein's research has a wide range of applications in next-generation consumer electronics, scientific imaging, human-computer interaction, remote sensing, and many other areas. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at the MIT Media Lab. He received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. He organized the IEEE 2012 and 2013 International Workshops on Computational Cameras and Displays as well as the 2017 Int. Conference on Computational Photography, founded displayblocks.org as a forum for sharing computational display design instructions with the DIY community, and presented a number of courses on Computational Displays and Computational Photography at ACM SIGGRAPH. Gordon is the recipient of an NSF CAREER award, he won best paper awards at the International Conference on Computational Photography (ICCP) in 2011 and 2014 as well as a Laval Virtual Award in 2005.
Professor of Medicine (Immunology and Rheumatology)
Current Research and Scholarly InterestsTelomere biology and genomic stress in autoimmunity and inflammation
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsProf. Widrow's research focuses on adaptive signal processing, adaptive control systems, adaptive neural networks, human memory, and human-like memory for computers. Applications include signal processing, prediction, noise cancelling, adaptive arrays, control systems, and pattern recognition.