Daniel R. Coates, Ph.D.
Dr. Coates' original training was in Mathematics and Computer Science at Macalester College
. After spending a decade
working as a software developer, he received a master's degree in computer
science studying artificial intelligence and neural networks with Prof. Melanie
Mitchell and Prof. Dan Hammerstrom at Portland State
. Studying vision as a prototypical neural
processing system led directly to the Vision Science Graduate Program at
, researching letter
recognition and crowding with Prof. Susana Chung. Most recently, he has
broadened his approach to include perceptual organization and mid-level vision,
as a postdoctoral fellow of the Belgian American
in the lab of Prof. Johan Wagemans at KU Leuven
He was a postdoctoral researcher in the Psychophysics of Appearance
in Bern under Prof. Bilge Sayim, developing appearance-based
approaches to the study of peripheral vision. He is currently an Assistant
Professor at the University of Houston College
Coates DR, Wagemans J, Sayim B. Diagnosing the visual periphery: Using the Rey-Osterrieth Complex Figure Test to evaluate peripheral visual function. i-Perception (in press).
Coates DR, Chung STL. Crowding in the S-cone pathway. Vision Research April 8, 2016.
Coates DR, Chung STL. Changes across the psychometric function following perceptual learning of an
RSVP reading task. Frontiers in Psychology (2014) Dec 23; 5:1434. doi: 10.3389/fpsyg.2014.01434
Coates DR, Levi DM. Contour interaction in foveal vision: A response to Siderov, Waugh, and Bedell
(2013) Vision Research 96 (2014):140-144. doi: 10.1016/j.visres.2013.10.016
Coates DR, Chin JM, Chung STL. Factors affecting crowded acuity: eccentricity and contrast.
Optometry & Vision Science (2013) Jul;90(7):628-38. doi: 10.1097/OPX.0b013e31829908a4