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Advisory Committee

Steve Wernke
Associate Professor of Anthropology, College of Arts & Science
VIIGR Advisory Committee Chair
VIIGR Principal Investigator

Office: 108 Garland Hall
Phone: (615) 343-2518
Janey Camp
Research Associate Professor of Civil & Environmental Engineering, School of Engineering

Office: Jacobs Hall, 290
VU Mailbox: PMB 351831
Phone: (615) 322-6013
Kate Clouse
Assistant Professor, School of Nursing

Office: 2525 West End Avenue, Suite 750
Phone: (615) 875-9814
Yolanda McDonald
Assistant Professor of Human & Organizational Development, Peabody College of Education & Human Development

Office: A4014 Sony Bldg., VU Mailbox: PMB 90
Phone: (615) 875-3288
Stacy Curry-Johnson
Librarian for Geospatial Data & Systems Research & Learning

Office: 112 Eskind Biomedical Library
Phone: (615) 875-6348
Ralph Bennartz
Professor of Earth & Environmental Science, College of Arts & Science

Office: 5726 Science & Engineering Bldg
Phone: (615) 322-2976


Natalie Robbins
Research Analyst, VIIGR

Office: 001A Garland Hall
Carolyn Audet
Assistant Professor, Health Policy

VIIGR Project: Geospatial analysis for optimizing delivery of HIV care
Justin Bachmann
Instructor in Medicine, Cardiovascular Medicine

VIIGR Project: Geospatial variation in cardiac rehabilitation access
Joshua Clinton
Professor, Political Science

VIIGR Project: Characterizing the Representation of Rural and Urban Interests in Congress
Kate Clouse
Assistant Professor, Vanderbilt School of Nursing

VIIGR Project: Population mobility and engagement in HIV care
Nicole Creanza
Assistant Professor, Biological Sciences

VIIGR Project: Evolution of Learned Behaviors in Genetic and Geographic Contexts
Stephen Deppen
Assistant Professor, Thoracic Surgery

VIIGR Project: Understanding spatial variation in healthcare delivery and outcomes
Tiffiny Tung
Associate Professor, Anthropology

VIIGR Project: Using isoscapes to identify origins of victims from the Shining Path War, Peru

Steve Wernke
Associate Professor, Anthropology

VIIGR Project: Massive Scale Archaeological Survey Using Deep Convolutional Neural Networks