The University of Texas at Dallas School of Behavioral and Brain Sciences

Alice J. O'Toole

Aage and Margareta Moller Professor

Research Interests

Face recognition by humans and machines. Neural processing of faces and bodies.

Curriculum Vitae


Email: [email protected]
Phone: 972-883-2486
Office: GR_4.224
Campus Mail Code: GR41
Website: Face Perception Research Lab


Dr. Alice O’Toole’s research focuses on human perception and memory for faces, using psychological, computational, and neuroscience-based methods. She has studied human and computer-based face recognition, and has conducted experiments to compare expert forensic facial examiners with untrained individuals. Dr. O’Toole also studies person recognition from the face, body, and gait. She currently serves as an associate editor for for the British Journal of Psychology and for the IEEE:Transactions on Biometrics, Behavior & Identity Science, has been named a fellow by the American Psychological Association, and holds the Aage and Margareta Møller Endowed Chair. Dr. O’Toole has been the recipient of an Alexander von Humboldt Research Fellowship, and has received research funding from NIMH, DARPA, IARPA, NEI, and the National Institute of Justice. Dr. O’Toole earned her bachelor’s degree from The Catholic University of America and her master’s and PhD from Brown University.

Recent and Selected Representative Publications

Book Chapters

Noyes, E. Phillips, P. J. & O’Toole (2017). What is a super-recogniser? In Eds. M. Bindemann & A. Megreya) Face Processing: Systems, Disorders and Cultural Differences. Nova Science Publishers, Inc. NY, USA.

Recent Articles in Peer-Refereed Journals

Hu, Y., Baragchizedeh, A. & O’Toole, A.J., (2020). Integrating faces and bodies: Psychological and neural perspectives on whole person perception. Neuroscience & Biobehavioral Reviews, 112, 472-486.

Cavazos, J.G. Phillips, P.J., Castillo, C.D. O’Toole, A. J. (2020) Accuracy comparison across face recognition algorithms: Where are we on measuring race bias? IEEE: Transactions on Biometrics, Behavior, and Identity Science. DOI 10.1109/TBIOM.2020.3027269.

Hill, M. Q., Parde, C. J., Castillo, C. D., Colon, Y. I., Ranjan, R., Chen, J. C., Blanz, V. O’Toole, A. J. (2019) Deep convolutional neural networks in the face of caricature. Nature Machine Intelligence.

O’Toole, A. J., Castillo, C. D., Parde, C. Hill, M. Q., & Chellappa, R. (2018). Face space representations in deep convolutional neural networks. Trends in Cognitive Science, 22(9), 794-809.

Phillips, P. J., Yates, A. N., Hu, Y., Hahn, C. A., Noyes, E. Jackson, K. Cavazos, J. G., Jeckeln, G., Ranjan, R., Sankaranarayarnan, S., Chen, J.C., Castillo, C., Chellappa, R. White, D., & O’Toole, A. J. (2018). Face Recognition Accuracy of Forensic Examiners, Super-recognizers, and Algorithms. Proceedings of the National Academy of Sciences, 115 (24), 6171-6176.

View more of Alice O’Toole’s publications

View more of Alice O’Toole’s publications on Google Scholar