InCHIP Lecture Series, Fall 2016
“Quantitative Approaches to Healthcare Across Scales”
Reinhard Laubenbacher, PhD, Center of Quantitative Medicine, UConn Health
12:30 - 1:30pm
Co-Sponsors:
UConn Allied Health Sciences
UConn Center for Environmental Health and Health Promotion
UConn Center for Public Health and Health Policy
UConn College of Liberal Arts and Sciences
UConn Connecticut Institute for Clinical and Translational Science
UConn Department of Communication
UConn Department of Human Development and Family Studies
UConn Department of Kinesiology
UConn Department of Psychological Sciences
UConn Global Affairs
UConn Neag School of Education
UConn Occupational and Environmental Medicine
UConn Office of Public Engagement
UConn School of Business
UConn School of Medicine
Location
Video Conference Room 204, 2nd floor
J. Ray Ryan Building, 2006 Hillside Road
University of Connecticut, Storrs Campus
For directions and maps, see http://www.chip.uconn.edu/about/directions-to-chip/.
Accessibility: elevator available in building lobby on ground floor.
Web Stream
You can view this talk streamed live during the lecture – or archived after the lecture – here.
About the Speaker
Dr. Laubenbacher joined the University of Connecticut Health Center in May 2013 as Professor in the Department of Cell Biology and Director of the Center for Quantitative Medicine. He is a Professor of Computational Biology at the Jackson Laboratory for Genomic Medicine. Prior to these appointments, he served as a Professor at the Virginia Bioinformatics Institute and the Department of Mathematics at Virginia Tech since 2001. He was an Adjunct Professor in the Department of Cancer Biology at Wake Forest University in Winston-Salem (NC) and Affiliate Faculty in the Virginia Tech Wake Forest University School of Biomedical Engineering and Sciences. He has served as Visiting Faculty at Los Alamos National Laboratories, the Mathematical Science Research Institute at Berkeley and Cornell University. Current interests in Dr. Laubenbacher's research group include the development of mathematical algorithms and their application to problems in systems biology, in particular the modeling and simulation of molecular networks. An application area of particular interest is cancer systems biology, especially the role of iron metabolism in breast cancer.
More information available at: http://chip.uconn.edu/lecture-series/2016-2017-lecture-series/
For more information, contact: InCHIP Lecture Series at lectureseries@chip.uconn.edu