Deepak Rao, M.D., Ph.D. is an Assistant Professor of Medicine at Harvard Medical School and co-Director of the BWH Human Immunology Center. His research uses high dimensional analyses of patient samples, coupled with mechanistic studies, to define immunologic pathways that drive autoimmune diseases. He recently led a study published in Nature that discovered a unique T cell population called ‘peripheral helper T cells’ that promotes inflammation in rheumatoid arthritis. His efforts are directed at identifying immune cell pathways that can serve as biomarkers of treatment response or new therapeutic targets in rheumatic diseases.
Clemens R. Scherzer, M.D., is a physician-scientist and Founding Director of the Center for Advanced Parkinson’s Disease Research. He is the Director of the Precision Neurology Program of Brigham & Women’s Hospital and Associate Professor of Neurology at HMS. Scherzer uses genomes, big data, and deep cohorts to develop a predictive and proactive health care for Parkinson’s and neurologic diseases. His interdisciplinary lab includes computer scientists, biologists, and clinicians. In analogy to how a search engine targets advertisements to a user, the lab’s goal is to match drugs and tests to a patient based on a search of his entire disease biology (Science Translational Medicine, 2010; Science, 2017). To predict how the human genome codes brain cells in health and disease, Scherzer is establishing a Brain Cell Encyclopedia of transcribed elements in human brains (Nature Neuroscience, 2018). Scherzer received the Dr. Paul Beeson and the George C. Cotzias Memorial Awards, and is on the Boards of the American Parkinson Disease Foundation, Neurogenetics and Biomarkers in Medicine.
David A. Silbersweig, M.D. is Stanley Cobb Professor of Psychiatry, and Academic Dean (Partners Healthcare), at HMS. He is Chairman of the Department of Psychiatry, and Co-Director of the Center for the Neurosciences at BWH. He is a neurologist and psychiatrist, and Co-Director of the Functional Neuroimaging Laboratory. He has played a leading role in the development of neuropsychiatric functional neuroimaging and in the evolving field of neuropsychiatry. He brings extensive experience in the design and execution of advanced functional neuroimaging research studies. His work also integrates such systems-level neuroscience with immunology, genetics, neuroendocrinology and neurophysiology, to develop biomarkers and targeted therapeutics for neuropsychiatric disorders.
Edwin K. Silverman, M.D., Ph.D. is chief of the Channing Division of Network Medicine at BWH, where he leads division efforts to develop and extend research and educational activities around the application of systems biology approaches to complex diseases. Dr. Silverman is also a Professor of Medicine at HMS. He is a pulmonologist and genetic epidemiologist whose research focuses on the genetics of chronic obstructive pulmonary disease. He is the Principal Investigator of multiple studies of COPD genetics. His recent work has focused on identifying functional genetic variants influencing COPD susceptibility; integrating imaging, physiology, clinical characterization, and genetics to identify COPD subtypes; and defining networks of interacting biological factors in COPD pathogenesis.
Clare Tempany-Afdhal, MB, BAO, B.Ch. is the Ferenc A. Jolesz MD Professor of Radiology, HMS; Vice Chair, Radiology Research, BWH; Co-director, Imaging Platform of Biomedical Research Institute (BRI). She is a world-renowned expert on clinical applications of MR imaging and leads a multidisciplinary research team of radiologists, radiation oncologists, surgeons, medical oncologists, computer scientists, physicists and mathematicians. Dr. Tempany heads an active prostate cancer research group, encompassing basic research in Image Guided Therapy and multiple clinical trials. She co-direct the Advanced Multimodal Image Guided Operating (AMIGO) Suite, a unique translational research set of state-of-the-art operating and procedure rooms. She obtained her medical degree-Royal College of Surgeons in Ireland, Diagnostic Radiology Residency-Loyola UMC, and MR Fellowship-Johns Hopkins.
Eliezer Van Allen, M.D. is an Assistant Professor of Medicine at HMS, a clinician at Dana-Farber/Partners Cancer Care, and an Associate Member at the Broad Institute. His research focuses on computational cancer genomics, the application of new technologies to precision cancer medicine, and resistance to targeted therapeutics. As both a computational biologist and medical oncologist, he has specific expertise in clinical computational oncology and the development of algorithms to analyze and interpret genomic data for clinically focused questions.
Sushrut Waikar, M.D., M.PH. is the Constantine L. Hampers, MD Distinguished Chair of Renal Medicine at BWH and Associate Professor of Medicine at HMS. Dr. Waikar is the Director of Renal Translational Research and leads several NIH-sponsored studies on biomarkers of kidney disease. He uses epidemiologic, translational, and interventional studies to address clinically important questions in nephrology. Dr. Waikar is the Principal Investigator of the Harvard Chronic Kidney Disease Research Biopsy Center, a recruitment site in the NIH-funded Kidney Precision Medicine Project. Dr. Waikar is also an active clinician and co-directs Renal Ambulatory Services at BWH.
George Washko, M.D.is a clinical investigator in the Division of Pulmonary and Critical Care Medicine at BWH. He began his career in research focused on therapeutic trials in COPD. The heterogeneity of disease and broad range of responses to pharmacologic and device based intervention he observed, led him to build a lab dedicated to the objective characterization of medical images to stratify disease, detect previously undiagnosed comorbid conditions and provide intermediate study endpoints for clinical investigation. By providing enhanced image interpretation that integrates multiple tiers of clinical data, Dr. Washko’s goal is to apply advanced machine learning techniques, including deep learning, to clinically acquired medical imaging data to enable clinical care and population management. This will provide a health care system with new insight into the burden and distribution of disease in their network. The Washko’s lab is also developing automated algorithms for the interpretation of chest x-rays to be deployed in resource limited settings where technology such as CT or MRI is not readily available. Dr. Washko has been involved in several national and international multicenter collaborations spanning a range of acute and chronic medical conditions from ARDS to sarcopenia and the metabolic syndrome.