Save the Date for a Cross-Cutting Conversation: Dean Paul Goldbart and the College of Natural Sciences are hosting another event for STEM researchers, graduate students, and Computational Health enthusiasts. Please join our Dell Medical School colleagues and listen to an interdisciplinary conversation between Dr. Kelly Gaither and Dr. Lauren Ancel Meyers, facilitated by Dr. Catherine Calder. Following a Q&A there will be networking, wine, refreshments, and intellectual conversation.

Please note: This event is for University faculty, graduate students and staff.

Faculty, staff and grad students: RSVP NOW

Featured Speakers for our April Cross-Cutting Conversation:

	Dr. Catherine (Kate) Calder is joining the UT Austin faculty this year to serve as Chair of the Department of Statistics and Data Sciences. Currently a Professor of Statistics at The Ohio State University and Co-Director of the Mathematical Biosciences Institute, one of eight NSF-funded Mathematical Sciences Research Institutes, she specializes in spatial statistics, Bayesian modeling and computation, and network analysis. Her statistical research is motivated by and has made substantive contributions to problems in the environmental, social, and health sciences.
	Dr. Lauren Ancel Meyers joined UT's Department of Integrative Biology in 2003 and was the founding Chair of the Department of Statistics and Data Sciences. A global leader in the field of mathematical epidemiology, she builds models that leverage big data and high performance computing to track, investigate and control the spread of emerging viruses, including pandemic influenza, Ebola, HIV, dengue and Zika.
	Dr. Kelly Gaither is the Director of Health Analytics at the Texas Advanced Computing Center and an Associate Professor in Women’s Health at the Dell Medical School. She received her bachelor’s and master’s in Computer Science at Texas A&M University and completed her Ph.D. in computational engineering at Mississippi State University. Her research areas include large data visualization, feature detection and visualization in health and medicine.