School of Medicine
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Shaimaa Bakr
Masters Student in Biomedical Data Science, admitted Autumn 2020
BioShaimaa is a graduate of the Ph.D. program, the Department of Electrical Engineering at Stanford and currently a postdoctoral researcher at the Gevaert lab at the Stanford Center for Biomedical Informatics Research (BMIR). Shaimaa is interested in developing multi-modal deep learning models using biomedical data with focus on genomic, radiology and histopathology data and applying these models to solve problems in cancer and other diseases. Prior to Stanford, she received her B.Sc. (Summa Cum Laude) from the American University in Cairo, where she studied Electronics Engineering and Computer Science. She obtained her MS degree in Electrical Engineering from Rensselaer Polytechnic Institute, working in the Cognitive and Immersive Systems lab, and advised by Professor Richard Radke.
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Corinne Beck
Program Manager, Center for Cancer Systems Biology (CCSB), Biomedical Data Science
Current Role at StanfordProgram Manager
Stanford Center for Cancer Systems Biology (CCSB)
Plevritis Lab
Department of Biomedical Data Science (DBDS)
School of Medicine | Stanford University -
Daniel Bloch
Professor (Research) of Biomedical Data Science (BDS), Emeritus
BioI received my PhD. in Mathematical Statistics in 1967. I joined the research community at the Stanford University School of Medicine, Division of Immunology & Rheumatology, in 1984 as head statistician directing the biostatistics consulting and analytic support of the Arthritis Rheumatism Aging Medical Information System (ARAMIS) and Multipurpose Arthritis Center (MAC) grant-related research programs. In 1993 I was appointed Associate Professor with a joint appointment in the Departments of Medicine and of Health Research & Policy, and am currently Professor of Biostatistics at Stanford University, emeritus since 2007. My contributions to the statistics literature span numerous fields, including methods of sample size estimation, efficiency and bias of estimators, research methods for kappa statistics, non-parametric classification methods and methods of assessing multi-parameter endpoints. I have over 200 peer-reviewed publications. I have been directly involved with the development of numerous criteria rules for classification of diseases and with establishing guidelines for clinical trial research and in proposing responder criteria for osteoarthritis drugs. Since 1987, I have been a consultant on an ad hoc basis to pharmaceutical and biotechnical firms, including both start-up and established companies. I have extensive experience with devices, drugs and biologics and have participated in all aspects of applying statistics to implement investigational plans; e.g.: for protocol development, design of trials, database design. I’ve been a member of the FDA Statistical Advisors Panel, the statistical member on numerous data safety monitoring boards, and frequently represent companies at meetings with the FDA