Donald S. Burke, MD
Donald S. Burke, MD, is Dean of the Graduate School of Public Health, Director of the Center for Vaccine Research, and Associate Vice Chancellor for Global Health at the University of Pittsburgh. He is also first occupant of the UPMC-Jonas Salk Chair in Global Health. A native of Cleveland, Ohio, Dr. Burke received his B.A. from Western Reserve University and his M.D. from Harvard Medical School. He was an intern and resident in medicine at Boston City and Massachusetts General Hospitals and trained as a research fellow in infectious diseases at the Walter Reed Army Medical Center. He has studied prevention and control of infectious diseases of global concern, including HIV/AIDS, influenza, dengue, and emerging infectious diseases. He has lived six years in Thailand, worked extensively in Cameroon, and conducted field epidemiology studies in numerous other developing countries. Most recently he has led a transdisciplinary team that develops computational models and simulations of epidemic infectious diseases and uses these simulations to evaluate prevention and control strategies.
John J. Grefenstette, PhD
John J. Grefenstette, PhD, is a Professor of Health Policy and Management in the Graduate School of Public Health at the University of Pittsburgh. He was the inaugural Director of the Public Health Dynamics Laboratory at the University of Pittsburgh and previously served as Professor and Chair of the Department of Bioinformatics and Computational Biology and Assistant Dean for the School of Computational Sciences at George Mason University, and as Head of the Machine Learning Section at the Navy Center for Applied Research in Artificial Intelligence at the U.S. Naval Research Laboratory. Dr. Grefenstette’s research activities span many areas on the boundary between computation and biology, including modeling and simulation of infectious diseases, public health databases, data mining, evolutionary algorithms, machine learning, computational models of biological networks, and high-performance computing applications to public health. His current major projects include the University of Pittsburgh’s National Center of Excellence for Models of Infectious Diseases Agent Study (MIDAS), funded by NIH/NIGMS, and the Vaccine Modeling Initiative, funded by the Bill and Melinda Gates Foundation. Dr. Grefenstette was the founding Associate Editor for the journal Evolutionary Computation, serves on the editorial board for the journal Adaptive Behavior and has been Associate Editor for the journal Machine Learning. Dr. Grefenstette received his BS in Mathematics and Philosophy from Carnegie Mellon University and his PhD in Computer Science from the University of Pittsburgh. In 2010, Dr. Grefenstette was honored with the Evolutionary Computation Pioneer Award from the IEEE Computational Intelligence Society.
Bryan A. Norman, PhD
Bryan A. Norman, PhD, is an Associate Professor of Industrial Engineering at the University of Pittsburgh. He received his Ph.D. degree in Industrial and Operations Engineering from the University of Michigan in 1995, where he was a National Science Foundation Fellowship holder, and has B.S.I.E. and M.S.I.E. degrees from the University of Oklahoma. His research interests primarily focus on the modeling of complex problems in manufacturing and production systems, applied optimization, and healthcare delivery and logistics. Specific areas relevant to the Vaccine Modeling Initiative include resource and personnel scheduling, facility design, material handling system design, supply chain network design and operations, inventory management, and healthcare delivery and logistics.His research has been funded by several sources including the National Science Foundation, the Gates Foundation and local industry. He has published his research in IIE Transactions, Naval Research Logistics, INFORMS Journal on Computing, the International Journal of Production Research, the European Journal of Operational Research, the Annals of Operations Research and Computers and Industrial Engineering. He is a member of IIE and INFORMS.
Jayant Rajgopal, PhD
Jayant Rajgopal, PhD, holds a Ph.D. in Industrial and Management Engineering from the University of Iowa, and has been on the faculty of the Department of Industrial Engineering at the University of Pittsburgh since 1986. His areas of interest include optimization, analysis of operations and supply chains, health systems modeling, and RFID applications; he has taught, conducted sponsored research, published papers and consulted in all these areas. He is a senior member of the Institute of Industrial Engineers, and the Institute for Operations Research and the Management Sciences, and is a licensed professional engineer in the state of Pennsylvania.
Wilbert van Panhuis, MD, PhD
Wilbert van Panhuis, MD, PhD, is an assistant professor in the Department of Epidemiology and a faculty member of the Public Health Dynamics Laboratory, University of Pittsburgh Graduate School of Public Health. The goal of my work is to accelerate the efficient use of data in public health. Vast amounts of data are collected daily in various domains including biomedicine, public health, demography, climate sciences, etc. that could be used to improve public health. Unfortunately, various barriers limit the use of these data including technical challenges but also political, economic, and ethical issues. My research projects aim to break through these barriers by: 1) building prototype data systems to demonstrate value, 2) conducting data intensive applied public health research, and 3) advance policies and guidelines on the use of data in public health. Our current prototype data system is Project Tycho that unlocked 125 years of newly digitized weekly US disease surveillance data for science and policy (NEJM, New York Times, Washington Post, Scientific American). Data intensive applied research projects include agent-based simulations of vector-borne (dengue, chikungunya) and vaccine preventable diseases (pertussis resurgence), and quantifying the impact of routine childhood immunization programs. On the policy end, we are working towards a global process to systematically find solutions to advance the use of data in public health (BMC Public Health, Chatham House report). We are advancing the use of traditional data in public health, such as disease surveillance data, but are also exploring the value of novel data such as electronic medical and laboratory records. For all projects, I work in partnership with health agencies and academics at the global, national, and local level across the world including the World Health Organization, Ministries of Health in Southeast Asia and Latin America, and the US Centers for Disease Control.