Stanford University
Showing 3,621-3,630 of 7,811 Results
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Eric I. Knudsen
Edward C. and Amy H. Sewall Professor in the School of Medicine, Emeritus
Current Research and Scholarly InterestsCellular mechanisms of spatial attention and learning, studied in the central nervous system in birds, using behavioral, systems, cellular and molecular techniques.
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Donald Knuth
Fletcher Jones Professor of Computer Science, Emeritus
BioDonald Ervin Knuth is an American computer scientist, mathematician, and Professor Emeritus at Stanford University.
He is the author of the multi-volume work The Art of Computer Programming and has been called the "father" of the analysis of algorithms. He contributed to the development of the rigorous analysis of the computational complexity of algorithms and systematized formal mathematical techniques for it. In the process he also popularized the asymptotic notation. In addition to fundamental contributions in several branches of theoretical computer science, Knuth is the creator of the TeX computer typesetting system, the related METAFONT font definition language and rendering system, and the Computer Modern family of typefaces.
As a writer and scholar,[4] Knuth created the WEB and CWEB computer programming systems designed to encourage and facilitate literate programming, and designed the MIX/MMIX instruction set architectures. As a member of the academic and scientific community, Knuth is strongly opposed to the policy of granting software patents. He has expressed his disagreement directly to the patent offices of the United States and Europe. (via Wikipedia) -
Brian Knutson
Professor of Psychology
Current Research and Scholarly InterestsMy lab and I seek to elucidate the neural basis of emotion (affective neuroscience), and explore implications for decision-making (neuroeconomics) and psychopathology (neurophenomics).
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Justin M Ko, MD, MBA
Clinical Professor, Dermatology
BioJustin Ko joined Stanford Medicine in 2012. He is a Clinical Professor and Associate Chair of Clinical Affairs in the Department of Dermatology and Chief of Dermatology at Stanford Healthcare where he spearheads the dermatology department's clinical enterprise including efforts around digital health, network development, quality and value-based care. He also holds health system leadership roles within Stanford Medicine including as Associate Chief Quality Officer and physician lead of Patient Experience and Ambulatory Access. Justin is a clinical expert in skin cancer and melanoma as well as alopecia areata and hair loss disorders, and is a leader and researcher in the areas of care delivery innovation and Artificial/Augmented Intelligence.
His passion for melanoma, early cancer detection, and improving care delivery drives his efforts and research around leveraging advances in machine learning and artificial intelligence to increase the breadth of populations that can be reached. He developed and runs a digital care delivery program at SHC, providing virtual visits for patients and remote consultations for referring clinicians. He conducts research on and engages in collaborations around interventions that layer advances in machine learning on digital health capabilities to enhance access, quality and value of dermatologic care and is a co-founder and co-leader of the Stanford Translational AI in Dermatology (TRAIND) group. He co-founded and chaired the American Academy of Dermatology's (AAD) Committee on Augmented Intelligence and has served as chair of the AAD's Health Information Technology Committee.
Dr. Ko has also been driven to find new treatments for alopecia areata, an immune-mediated condition that can progress to total hair loss through various clinical trials and translational research efforts. He sits on the clinical research advisory board of the National Alopecia Areata Foundation and is a co-founder of the Skin Innovation and Interventional Research Group (SIIRG) which conducts clinical and translational research on skin disease.
He graduated magna cum laude from Harvard University and worked in investment banking; mergers and acquisitions at JP Morgan before going on to earn a combined medical and business degree at Tufts University. During medical school, he was a member of the Alpha Omega Alpha honor society. Dr. Ko then performed his residency at the Harvard Dermatology Residency Training Program where he served as chief resident. -
Brian Kobilka
Hélène Irwin Fagan Chair of Cardiology
Current Research and Scholarly InterestsStructure, function and physiology of adrenergic receptors.
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Bruce Koch, Ph.D.
Director of High-Throughput Screening
Current Role at StanfordDirector, ChEM-H/CSB High Throughput Screening Group
Staff Lead, IMA HTS Module
Adviser to the SPARK Program -
Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
