Daniel R. Coates, Ph.D.
Dan's 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 University. Studying vision as a prototypical neural processing system led directly to the Vision Science Graduate Program at UC Berkeley, 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 Educational Foundation in the lab of Prof. Johan Wagemans at KU Leuven (Belgium). He was a postdoctoral researcher in the Psychophysics of Appearance Laboratory in Bern, developing appearance-based approaches to the study of peripheral vision. He is currently an Assistant Professor at the University of Houston College of Optometry.
Coates, D. R., Wagemans, J., & Sayim, B. (2017). Diagnosing the visual periphery: Using the Rey-Osterrieth Complex Figure test to evaluate peripheral visual function. i-Perception, 8(3). [open access]
Coates, D.R., & Chung, S.T.L. (2016). Crowding in the S-cone pathway. Vision Research, 122, 81-92. [open acess]
Coates DR, & Chung, S.T.L. (2014). Changes across the psychometric function following perceptual learning of an RSVP reading task. Frontiers in Psychology, 5(1434). [open access]
Coates DR, & Levi, D.M. (2013). Contour interaction in foveal vision: A response to Siderov, Waugh, and Bedell. Vision Research, 96, 140-144. [open access]
Coates DR, Chin, J.M., & Chung, S.T.L. (2013). Factors affecting crowded acuity: eccentricity and contrast. Optometry & Vision Science,90(7), 628-38. [online]