Dimitris S. Mylonas, Ph.D. received his PhD in Applied Mathematical and Physical Sciences at the National Technical University of Athens in 2014. His research interests include the development and implementation of new analysis methods to neuroimaging data (EEG/MEG and MRI). He joined the Manoach Lab as a postodoctoral research fellow in October 2015. He is currently investigating the role of brain oscillations during wake and sleep in learning and sleep-dependent memory impairment in schizophrenia.
Will Coon, Ph.D. earned his B.Sc. in Psychology from McGill University in Montreal, Quebec, and his Ph.D. in Biomedical Science from the State University of New York at Albany in 2015. For his doctoral dissertation, he worked with intracranial EEG (iEEG) to study how oscillatory dynamics govern the timing of cortical signaling in the brain and to identify areas of eloquent cortex prior to resective brain surgery. Will is interested in neuronal oscillations, sleep-enhanced learning, and memory consolidation, and enjoys devising novel analytic approaches with applications in electrophysiology and statistics. In his present work, he uses concurrent EEG+iEEG and high-density EEG, coupled with tools from artificial intelligence and machine learning, to investigate how the spatiotemporal organization of coupled oscillations in the sleeping brain subserve “offline” learning and memory consolidation, and how these processes go awry in schizophrenia and autism.
Zhaoyue Shi, Ph.D. completed her Ph.D. in Biomedical Engineering at Vanderbilt University under the direction of Dr. John C. Gore. During her Ph.D, she investigated the neural basis of BOLD fMRI signals in non-human primate brain, as well as translating fMRI and electrophysiology analysis techniques to the clinic to better understand the functional connectivity of human brain. Her current research is focused on developing MEG/EEG signal processing and computational modeling towards the goal of investigating sleep-dependent memory consolidation in healthy and schizophrenic populations.
Bryan Baxter, Ph.D. completed his Ph.D. in Biomedical Engineering at the University of Minnesota. Bryan’s Ph.D. work examined how transcranial current stimulation interacts with ongoing activity in the brain to improve performance of noninvasive Brain-Computer Interfaces. His current interests are an extension of this work examining how noninvasive stimulation interacts with endogenous neural activity during sleep and how this interaction can be utilized to improve cognition and memory. He is also interested in bioethics related to neural stimulation in populations with neuropsychiatric conditions.