Dr. Ghuman received his undergraduate education in math and physics at The Johns Hopkins University, and completed his doctoral education in biophysics at Harvard University. He completed his postdoctoral training at the National Institute of Mental Health prior to joining the faculty at the University of Pittsburgh in September of 2011.

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Casey is an international postdoctoral scholar with a PhD in visual and cognitive neuroscience from RMIT University, Australia. Her PhD focused on the neural mechanisms of dynamic face perception, including the perception of AI-generated faces (deepfakes). She is interested in the neural mechanisms behind social interaction, face perception, and associated gaze behaviours; and she aims to improve the ecological validity of research methods in social neuroscience.

Mary Kate is a Masters student at the School of Computing and Information at the University of Pittsburgh. She earned her BS in Natural Sciences with a concentration in Biological Sciences from the University of Pittsburgh. Post-graduation, she spent a couple of years in industry working as a Clinical Laboratory Scientist. After some time in industry, Mary Kate decided to return to a research-oriented environment, inspired by her undergraduate research experience testing safety thresholds for electrical stimulation of the retina for the development of a retinal prosthetic at Carnegie Mellon University. Her interests broadly lie in neuromodulation and neural prosthetics.

Mo is a Bioengineering PhD student at the University of Pittsburgh. Mo’s research interests lay in psychology, neuroscience, statistics, and machine learning. She’s broadly interested in studying human visual perception and higher level cognition problems. She has experience working on understanding face perception and its mechanisms with deep learning/reinforcement learning techniques. Mo is also interested in using neuroimaging methods to study the structure and function of human brain. Before coming to The University of Pittsburgh, Mo obtained her master’s degree in statistics from Columbia University and bachelor’s degree in psychology and mathematics from Connecticut College.

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Maxwell Wang is an MD/PhD student at the University of Pittsburgh and Carnegie Mellon University joint program. He started his undergraduate studies at Washington Univ. in St. Louis in 2013 as a young teenager and graduated early in spring, 2016. He recently received his PhD in Machine Learning (School of Computer Science) and Neural Computation (Neuroscience Institute) at CMU where he was advised by Avniel S. Ghuman and Robert E. Kass. His thesis focused long term brain dynamics and dynamical systems learning, with part of his thesis work being profiled in MIT Technology Review (https://www.technologyreview.com/2023/02/07/1067951/brains-week-order-chaos/). He is now completing medical school with an interest in neuromodulation and subacute brain injury response.

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Michael is a medical student at the David Geffen School of Medicine at UCLA. He earned a BS in neuroscience and MS in biomedical science from the University of Pittsburgh. Mr. Ward has extensive research experience, with expertise in intracranial EEG, extraoperative electrical stimulation mapping, and Deep Brain Stimulation (DBS). His clinical interests are focused in academic neurosurgery, specifically involving restorative neuromodulation for chronic pain and drug-resistant epilepsy. Michael’s research combines neuroimaging with invasive electrophysiology to study the neural correlates of treatment-resistant neurological and psychiatric disorders, with additional interests in movement disorders, visual cognition, and restorative device development.