Stanford University
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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. -
Yun-Dam Ko
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
BioYun-Dam Ko's research focuses on combining data-driven solutions with building physics to enhance the sustainability of the urban built environment. His recent work leverages AI to optimize building energy performance, with a specific focus on intelligent HVAC system control and advanced Building Energy Modeling. Bridging research and practice, he previously worked at a startup where he developed and deployed AI solutions to improve building energy efficiency at scale.
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Blake Koach Gates
Financial Accountant, Facilities & Hospitality Staff Salary Org
Current Role at StanfordFinancial Accountant, Facilities & Hospitality, Stanford GSB
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Brian Kobilka
Hélène Irwin Fagan Chair of Cardiology
Current Research and Scholarly InterestsStructure, function and physiology of adrenergic receptors.
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Elif Gediz Kocaoglan
Postdoctoral Scholar, Biology
BioGediz completed her PhD in Bioengineering from Imperial College London. She specialized in plant synthetic biology, developed molecular tools and used regeneration as a model development process to test the functionality of these tools. She is currently a postdoctoral researcher in the Dinneny Lab, where she explores the form-function relationship of the root epidermis and investigates how plants adapt to environmental stress. By integrating biodiversity with synthetic biology approaches, her work aims to uncover design constraints for developing climate-resilient plants.