Invited Speakers
Prof. Nathaniel Hupert Weill Cornell Medical College; Cornell Institute for Disease and Disaster Preparedness, Cornell University; Senior Medical Advisor, U.S. Centers for Disease Control and Prevention (CDC). Nathaniel Hupert is Associate Professor of Healthcare Policy and Research and of Medicine Department of Healthcare Policy and Research, Weill Cornell Medical College; Associate Attending Physician, NewYork-Presbyterian Hospital, Weill Cornell Center; Co-Director, Cornell Institute for Disease and Disaster Preparedness; and Senior Medical Advisor in the Health and Economics Modeling Unit or the Division of Preparedness and Emerging Infections (DPEI), in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) of the U.S. Centers for Disease Control and Prevention (CDC).
Dr. Hupert is practicing clinician and leader in the field of computational public health focusing on healthcare processes and response logistics. He current research centers involves the application of multiple computational techniques (including Process Mining, Discrete Event Simulation, and Network Modeling) to improve understanding and efficiency of clinical activity. Since September 2000, he has collaborated with local, State, Federal, and international public health officials in advancing clinical and health system preparedness for bioterrorism and other public health emergencies. Several of Dr. Hupert’s computer models of mass antibiotic dispensing and hospital surge capacity have been widely downloaded and used by public health professionals worldwide. He also led the development of two national healthcare planning documents, a “Community Guide for Public Health Preparedness” in 2004 and the “Guidebook for Hospital Preparedness Exercises” in 2010. Dr. Hupert served on the Anthrax Modeling Working Group of the U.S. Department of Health and Human Services (DHHS) and was a member of the 2007 RAND Expert Panel on Defining Public Health Preparedness. |
Prof. Pejman Rohani Odum School of Ecology and Department of Infectious Diseases, School of Veterinary Medicine, University of Georgia, US Pej Rohani is a Professor of Ecology and Infectious Diseases at the University of Georgia, USA. He was trained in population ecology and uses a combination of mathematical and computational approaches to study the population biology of infectious disease systems. Currently funded projects include the phylodynamics of avian influenza viruses, the epidemiology and evolution of pertussis, vaccine dynamics of polio and the drivers of dengue transmission ecology.
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Shweta Bansal is an Assistant Professor of Biology at Georgetown University, and specializes in contact network modeling for infectious diseases. She is trained as an interdisciplinary applied and computational mathematician from the University of Texas at Austin, and a graduate of the RAPIDD Postdoctoral Fellowship Program (of the US National Institutes of Health and Department of Homeland Security). At Georgetown University, she leads a research group that develops data-driven mathematical models for the prevention and containment of human and animal infectious diseases using tools from network science, statistical physics, computer science and statistics.
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Chiara Poletto is a Post Doc at the Pierre Louis Institute of Epidemiology and Public Health, where she will be enrolled as Charge de Recherché starting October 2015. Her background is in physics and since the beginning of the
Post Doctoral research at the computational epidemiology Lab (ISI Foundation, Italy) she applies network physics and extensive computational programming to the modeling of the spatial spread of infectious diseases, with special attention to the role of human demography, mobility and behavior on the propagation of emerging infections. On the theoretical side she is interested on the effects of hosts’ traveling patterns, journey duration and travel frequency on the dynamics of pathogen emergence and multi-pathogen interaction. Besides these fundamental questions, she studied real epidemic events, like the MERS-CoV epidemic, the Chikungunya outbreak in the Caribbean and the Western Africa Ebola outbreak. |