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Meet the Dean

Anne Haake

Dr. Anne R. Haake is currently the dean of the Golisano College where she has previously served as associate dean for research & scholarship, and professor of graduate studies and research. Dr. Haake’s current research, as director of the Human-Centric Multimodal Modeling Lab, is focused in the areas of biomedical informatics and human-computer interaction, Her cross-disciplinary expertise and research resulted in her being selected to serve as a National Science Foundation (NSF) program director in the NSF’s Division of Biological Infrastructure.

In addition to her work at Golisano College and with the NSF, Dr. Haake has co-authored a bioinformatics textbook, served as co-director of the Multidisciplinary Vision Research Laboratory in the science college’s Chester F. Carlson Center for Imaging Science and founded a usability consulting company. Dr. Haake holds a doctorate in developmental biology and a master’s in software development and management from RIT. Prior to joining RIT, Dr. Haake worked as a cell and developmental biologist at the University of Rochester School of Medicine & Dentistry, researching molecular biology and genetics leading to her interest in biomedical informatics.

Notable Links and Publications

Guo X., Yu Q., Alm C., Calvelli C., Pelz J., Shi P., Haake A. From Spoken Narratives to Domain Knowledge: Mining Linguistic Data for Medical Image Understanding. Artificial Intelligence in Medicine, Elsevier. 62(2), 79–90, 2014.

Li, R., Shi, P., & Haake, A. R. Image Understanding from Experts' Eyes by Modeling Perceptual Skill of Diagnostic Reasoning Processes. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference (pp. 2187-2194).

 Li R., Pelz J., Shi P., and Haake A. Learning Image-Derived Eye Movement Patterns for Characterization of Perceptual Expertise. Proceedings of CogSci 2012, 1900-1905.

West, JM, Haake AR, Rozanski EP, Karn KS. eyePatterns: Software for identifying patterns and similarities across fixation sequences. Proceedings of Eye Tracking Research and Application Symposium, ETRA ’06, ACM, New York, NY, 149-154.