Stanford University
Showing 121-130 of 165 Results
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Sarah Bowling
Assistant Professor of Developmental Biology
Current Research and Scholarly InterestsThe Bowling lab focuses on understanding lineage formation and tissue growth in mammalian development during normal and perturbed embryogenesis. We use a combination of next-generation tools and classical embryological approaches to uncover mechanisms of plasticity and resilience during mammalian embryo development, with the aim of using this knowledge to extend our understanding of regeneration and developmental diseases.
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Linda Boxer, MD, PhD
Vice Dean of the School of Medicine and Stanley McCormick Memorial Professor
Current Research and Scholarly InterestsRegulation of expression of oncogenes in normal and malignant hematologic cells.
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Steven Boxer
Camille Dreyfus Professor of Chemistry
Current Research and Scholarly InterestsPlease visit my website for complete information:
http://www.stanford.edu/group/boxer/ -
Kevin Boyce
Professor of Earth and Planetary Sciences and, by courtesy, of Earth System Science
On Leave from 01/01/2024 To 06/30/2024Current Research and Scholarly InterestsPaleontology/Geobiology; Fossil record of plant physiology and development; Evolution of terrestrial ecosystems including fungi, animals, and environmental feedbacks with the biota
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Scott D. Boyd, MD PhD
Stanford Professor of Food Allergy and Immunology and Professor of Pathology
Current Research and Scholarly InterestsOur goal is to understand the lymphocyte genotype-phenotype relationships in healthy human immunity and in immunological diseases. We apply new technologies and data analysis approaches to this challenge, particularly high-throughput DNA sequencing and single-cell monoclonal antibody generation, in parallel with other functional assays.
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Stephen Boyd
Samsung Professor in the School of Engineering
BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University, and a member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).
Professor Boyd is the author of many research articles and four books: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with El Ghaoui, Feron, and Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.
He has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, for excellence in computational mathematical programming. In 2023, he was given the AACC Richard E. Bellman Control Heritage Award, the highest recognition of professional achievement for U.S. control systems engineers and scientists. He is a Fellow of the IEEE, SIAM, INFORMS, and IFAC, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering, a foreign member of the Chinese Academy of Engineering, and a foreign member of the National Academy of Engineering of Korea. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.
He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education. In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization." -
Onn Brandman
Associate Professor of Biochemistry and, by courtesy, of Chemical and Systems Biology
Current Research and Scholarly InterestsThe Brandman Lab studies how cells sense and respond to stress. We employ an integrated set of techniques including single cell analysis, mathematical modeling, genomics, structural studies, and in vitro assays.
