Dora Angelaki

Dora Angelaki, PhD, was a faculty member at Washington University in St. Louis from 1999 to 2011. She joined as an associate professor in the Department of Biomedical Engineering in the School of Engineering & Applied Science and subsequently served as the Alumni Endowed Professor of Neurobiology in the Department of Anatomy and Neurobiology at Washington University School of Medicine. Angelaki received her diploma in electrical engineering from the National Technical University of Athens, Greece, and her Ph.D. in biomedical engineering from the University of Minnesota in 1991.

Her academic interests center on computational, cognitive, and systems neuroscience, with a specialization in the neural mechanisms of multisensory integration underlying spatial perception, navigation, self-motion estimation, and heading perception. Employing non-human primates, rodents, and humans, her research examines neural coding, dynamic information flow across brain regions, decision-making, and episodic memory in naturalistic tasks. Key publications include "Vestibular system: the many facets of a multimodal sense" (Annual Review of Neuroscience, 2008), "Neural correlates of multisensory cue integration in macaque MSTd" (Nature Neuroscience, 2008), "Neurons compute internal models of the physical laws of motion" (Nature, 2004), "Dynamic reweighting of visual and vestibular cues during self-motion perception" (Journal of Neuroscience, 2009), and "A normalization model of multisensory integration" (Nature Neuroscience, 2011). Angelaki has earned major honors such as the Presidential Early Career Award for Scientists and Engineers (1996), Hallpike-Nylen Medal from the Bárány Society (2006), Grass Lectureship from the Society for Neuroscience (2011), and the inaugural Pradel Research Award in Neuroscience from the National Academy of Sciences (2012). She was elected to the National Academy of Sciences and the American Academy of Arts and Sciences in 2014. Her contributions have shaped understanding of vestibular and multisensory processing, informing computational models and neural prosthetics.