School of Medicine
Showing 1-10 of 34 Results
Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly Interests I refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology
Current Research and Scholarly Interests My research focuses on analyzing genome wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. My group works on a variety of organisms and model systems ranging from humans and other primates to domesticated plant and animals. Much of our research is at the interface of computational biology, mathematical genetics, and evolutionary genomics.
Bio Helio Costa, PhD, is a geneticist with a background in genomics, molecular biology, oncology, and bioinformatics. He is currently an Instructor within the Departments of Pathology and Biomedical Data Science at Stanford Medical School where his research focuses on clinical diagnostics assay development using next-generation DNA and RNA sequencing. He is also an Attending Geneticist, and Assistant Lab Director of the Molecular Genetic Pathology Laboratory for Stanford Health Care. Dr. Costa received his BS in Genetics from University of California, Davis, his PhD in Genetics from Stanford University School of Medicine, and his ABMGG Clinical Molecular Genetics and Genomics fellowship training from Stanford University School of Medicine.
Mark R. Cullen, MD
Director, Center for Population Health Sciences, Senior Associate Dean for Research, Professor of Medicine (Primary Care and Population Health), of Biomedical Data Science, of HRP (Epidemiology) and Senior Fellow at SIEPR
Current Research and Scholarly Interests Social and environmental determinants of health; role of workplace physical environment and work organization as causes of chronic disease and disability
Professor (Research) of Medicine (BMIR), of Biomedical Data Science and, by courtesy, of Health Research and Policy
Current Research and Scholarly Interests Dr. Desai is the Director of the Quantitative Sciences Unit. She is interested in the application of biostatistical methods to all areas of medicine including oncology, nephrology, and endocrinology. She works on methods for the analysis of epidemiologic studies, clinical trials, and studies with missing observations.
Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science
Current Research and Scholarly Interests Research Interests:
Assistant Professor (Research) of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly Interests Computational systems biology of human disease. Particular focus on integration of high-throughput datasets with each other, and with phenotypic information and clinical outcomes.
Assistant Professor of Medicine (Biomedical Informatics Research) and of Biomedical Data Science
Current Research and Scholarly Interests My lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
Current Research and Scholarly Interests Flexible statistical modelling, datamining, bioinformatics, and statistical computing.
Associate Professor (Research) of Medicine (Biomedical Informatics Research Center), of Biomedical Data Science and of Surgery
Current Research and Scholarly Interests My background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.