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Edmund T. Gordon, Chair 2109 San Jacinto Blvd , Mailcode E3400, Austin, TX 78712 • 512-471-4362

Talia McCray

Ph.D. Urban Tech and Environmental Planning, University of Michigan

Assistant Professor of Architecture

Contact

Biography

Dr. McCray is an Assistant Professor in the Community and Regional Planning Program at the University of Texas at Austin, specializing in transportation planning for the transportation disadvantaged population. She received her Ph.D. from the University of Michigan in the Urban Technological and Environmental Planning Program. During her time as a graduate student, she was an Eisenhower and Eno Fellow. Her dissertation work modeled prenatal care and transportation access challenges in rural South Africa. Dr. McCray began her career as an electrical engineer and worked several years with AT&T Bell Laboratories in digital signal processing. She is a proud graduate of Bennett College (B.S. in mathematics) and North Carolina A&T State University (B.S. in electrical engineering), and continues to be connected to her alma mater by serving on the Board of Trustees at Bennett College. She also holds a M.S. degree in electrical engineering from Northwestern University. In September of 2003, Dr. McCray won a Ford Foundation Post-doctoral Fellowship at the University of Laval in Quebec City, where she directed a study on the accessibility needs of low-income women, primarily dependent on public transportation. From June 2006 – September 2007, Dr. McCray directed a large interdisciplinary research and outreach project, funded by the University of Rhode Island Transportation Center, that addressed the activity and travel patterns of low-income teenagers in Providence, RI. Dr. McCray has written several articles and papers addressing perceptions of violence and the use of space by urban youth, developing methodology to address the transportation needs of disadvantaged populations, and analyzing the effects of culture on healthcare access.

Interests

Transportation Policy and Planning, Healthcare Access, Quantitative and GIS methods, Sustainable Transportation.
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