Martin A. Makary M.D., M.P.H.
Professor of Surgery
Johns Hopkins University School of Medicine
Clinical Lead, Sibley Innovation Hub
Professor of Health Policy & Management
Johns Hopkins School of Public Health
Dr. Makary is a surgical oncologist and chief of the Johns Hopkins Islet Transplant Center. He is a clinical lead for the Johns Hopkins Sibley Innovation Hub and serves as Executive Director of Improving Wisely, a Robert Wood Johnson Foundation project to lower health care costs in the U.S. by creating measures of appropriateness in health care.
Dr. Makary’s research focuses on the creation and evaluation of new health care innovations. He is the creator of the Surgery Checklist, publishing its first description and later served on the W.H.O. Safe Surgery Saves Lives committee. He led the W.H.O. workgroup to create global measures of surgical quality. Dr. Makary has published over 200 scientific articles, including the first description of “frailty” impacting surgical outcomes, the original studies on safety culture measurement in hospitals, and an evaluation of the Orphan Drug Act.
He is a leading voice for physicians, writing in The Wall Street Journal, and is the author of The New York Times best-selling book Unaccountable about patient safety and physician-led transparency efforts in health care. Dr. Makary is the founder of the Johns Hopkins Center For Surgical Outcomes Research and Clinical Trials and is the recipient of numerous grants to evaluate the effectiveness of new surgical technology and new interventions in health care.
He serves jointly as a professor of surgery at the Johns Hopkins University School of Medicine and a professor of health policy & management at the Johns Hopkins Bloomberg School of Public Health. He has pioneered new pancreas operations at Johns Hopkins, including the laparoscopic Whipple procedure. He performed the first series of laparoscopic islet auto-transplantation and other laparoscopic operations in field of surgery. Dr. Makary is among the few highest-volume laparoscopic pancreas surgeons in the United States. He is the recipient of the National Pancreas Foundation Nobility in Science Award.
Dr. Makary is a graduate of Bucknell, Thomas Jefferson and Harvard University. He completed his surgical training at Georgetown University and his fellowship at Johns Hopkins Hospital.
Warren D. D'Souza, Ph.D., MBA, FAAPM
Vice President, Enterprise Data and Analytics
University of Maryland Medical System
Chief, Medical Physics
Warren D. D’Souza, Ph.D., MBA, is Professor and Division Head, Medical Physics in the Department of Radiation Oncology. He joined the faculty as Instructor at the University of Texas M.D. Anderson Cancer Center in 2000. He came to the Department of Radiation Oncology at the University of Maryland School of Medicine in 2002 as Assistant Professor. He was promoted to Associate Professor and appointed as Division Head of Medical Physics in 2008. In 2014, he was promoted to Professor. He is the recipient of several awards, including the Medical Physics Travel Award from the American Association of Physicists in Medicine. He holds six patents from the United States Patent Office. He has been funded as a principal investigator on multiple grants from the National Institutes of Health, National Science Foundation and through various industry sponsored grants. He became a Fellow of the American Association of Physicists in Medicine in 2015.
Cupid Chan is a seasoned professional who is well-established in the data industry. His journey started out as one of the key players in building a world-class Business Intelligence (BI) platform. Aside from holding various technical accreditations, his credential extends into business qualifications such as PMP and Lean Six Sigma. Cupid has been a consultant for years providing solutions to various Fortune 500 companies as well as the Public Sector. He has experience in multiple Big Data programs in Centers for Medicare and Medicaid Services (CMS) and spearheading various Enterprise BI projects for the agency on top of ~1PB claims data. By leveraging the power of Data, Analytics and Technology, he helps his clients to gain invaluable insight and improve various aspects on their businesses. He is part of the Technical Steering Committee (TSC) and the Champion of the BI & Data Science SIG in ODPi, a nonprofit organization committed to simplification & standardization of the big data ecosystem with common reference specifications and test suites. His strong technical experience in planting Big Data implementation helps his client reaping indispensable business value in different industries.
Anna T. Fernandez, Ph.D., PMP
Dr. Fernandez is a Senior Associate in Booz Allen’s Health team, leading scientific and IT related initiatives to aggregate and disseminate clinical and research data. She has over 15 years of healthcare experience spanning medical imaging, biorepository management, data science and translational/precision medicine related informatics solutions. She previously worked at Philips Research North American and in informatics related efforts at NCI cancer Biomedical Informatics Grid (biorepositories), the National Heart, Lung, and Blood Institute Pediatric Heart Network, and an international cardiac association. Dr. Fernandez is supporting American College of Radiology (ACR) and government agencies in scientific IT and next generation data discovery and analytics platforms connecting clinical trial and registry data. She holds seven patents and authored publications in medical imaging, interventional radiology, and pathology areas. Dr. Fernandez has a BSEE from University of Maryland, College Park; MS, PhD Biomedical Engineering from Duke University; and is Adjunct Assistant Faculty at the University of Maryland University College Graduate School.
Charles Gabrial has more than 25 years of Information Technology (IT) experience in a variety of industries, to include finance, banking, media, insurance, construction, and healthcare. He has a track record as an expert in implementing mission-critical analytics and complex IT solutions at Fortune 500 and large Federal organizations. His clients include large and complex enterprises, such as Freddie Mac, Discovery Communication, Worldbank Group, Center for Medicare and Medicaid, Humana, WellPoint, IBM, and many others. He currently serves as an Analytics and Data Science manager at the Defense Health Agency, where he utilizes data science and machine learning to improve clinical quality measures, wellness, and Health Information Exchange (HIE) programs. Charles Gabrial was awarded the Employee of the Quarter for his effort in applying advanced analytics to reduce unnecessary duplicate lab orders, leading to improved patient quality and safety. He applied new methods for clinical quality improvements that earned him recognition from Vice Admiral Bono. Some of Gabrial’s distinguished topics of interest include wellness, health information exchange and interoperability, clinical quality measures, quality improvement methodology for highly reliable organizations, and next generation digital health. Charles Gabrial received his Masters of Science in Information and Process Engineering, with a focus in Machine Learning and Decision Science from The George Washington University in May 2000. Gabrial developed innovative curriculum and courses at George Mason University, George Washington University, and the University of Phoenix.
Rema Padman, Ph.D.
Rema Padman is Professor of Management Science and Healthcare Informatics, Research Area Director for Operations and Informatics at the Center for Health Analytics, and Thrust Leader of Health IT Research at iLab in the H. John Heinz III College at Carnegie Mellon University in Pittsburgh. She is also Adjunct Professor in the Department of Biomedical Informatics at the University of Pittsburgh School of Medicine. Her current research examines healthcare analytics and operations, data-driven decision support, and process modeling and risk analysis in the context of clinical (using Electronic Health Record) and consumer-facing information technology (IT) interventions in healthcare delivery and management such as e-health, m-health, and chronic disease management. She has developed, applied, and evaluated models and methods drawn from optimization, machine learning, statistics and behavioral science for designing and investigating these IT interventions in the inpatient, ambulatory, and consumer self-health management settings.
Hoo Chang Shin, Ph.D.
Hoo Chang Shin is a Solutions Architect at NVIDIA focusing on healthcare solutions. He has a Ph.D. degree from the University of London, engineering degrees from the Technical University of Munich and Sogang University. Previously he has worked at the National Institutes of Health as a postdoctoral research fellow, at BMW and Audi as a student researcher and intern.
Hong Yu, Ph.D., FACMI
Hong Yu is a tenured professor in the Department of Quantitative Health Sciences at the University of Massachusetts Medical School, a research health scientist at the Edith Nourse Rogers Memorial Veterans Hospital and a core investigator at the VA Center for Healthcare Organization and Implementation Research. She also holds an adjunct position in the College of Information and Computer Science at the University of Massachusetts, Amherst. She is an elected fellow of American College of Medical Informatics, a principle investigator of multiple NIH grants and an author of over 150 publications.