Stanford University
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Sebastian Doniach
Professor of Applied Physics and of Physics, Emeritus
Current Research and Scholarly InterestsStudy of changes in conformation of proteins and RNA using x-ray scattering
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Joseph Donnelly, MD
Clinical Assistant Professor, Orthopaedic Surgery
BioDr. Donnelly is a board-certified orthopaedic surgeon with subspecialty board certification in orthopaedic sports medicine. He is the medical director of Sports Medicine and the vice chief of Orthopaedics for Stanford Health Care Tri-Valley. He is also a clinical assistant professor at Stanford University School of Medicine.
As a clinician, Dr. Donnelly delivers comprehensive prevention and treatment strategies for sports-related orthopaedic trauma. He specializes in the arthroscopic treatment of disorders of the shoulder and knee. He provides particular expertise in minimally invasive and tissue-sparing surgery such as all-inside ACL reconstruction and arthroscopic fixation of shoulder rotator cuff tears.
He has extensive experience providing game coverage and athletic trainer support for teams including the Oakland Athletics of Major League Baseball as well as high school and college teams. He also has made numerous presentations to educate the community regarding prevention, evaluation, and treatment of injuries in athletes. -
David Donoho
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences
BioDavid Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description.
Research Statement:
My theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems. My applied research interests have ranged from data visualization to various problems in scientific signal processing, image processing, and inverse problems.
