Thomas Naselaris

Thomas Naselaris, Ph.D., Primary Investigator

Thomas majored in Math and Philosophy as an undergraduate at Indiana University. He received a Ph.D. in Neuroscience under Apostolos Georgopoulos at the University of Minnesota. He completed a postdoctoral fellowship under Jack Gallant at University of California, Berkeley. He joined the Department of Neurosciences at MUSC as an Assistant Professor in 2012.

Zahraa Sabra

Zahraa Sabra, Graduate Student

Zahraa received her Masters in Electrical and Computer Engineering from American University at Beirut. She is currently pursuing graduate studies in Neuroscience at MUSC.

Jessica Breedlove, Graduate Student

Jesse majored in Psychology as an undergraduate student at Clemson University and is now pursuing her Ph.D. in Neuroscience at MUSC.  Her interests include vision, mental imagery, and conditions in which typical perception is disrupted.

Ghislain St-Yves, Ph.D., Post-Doc

Ghislain completed a Biophysics B.Sc. and Physics M.Sc. at UQTR, Québec. He subsequently studied at the University of Calgary, where he received his Ph.D. in Physics under Prof. Joern Davidsen in 2015. His main thesis work focused on simulations, modeling, and analysis of the statistical properties of 2D and 3D spatiotemporal chaos in chemical and electrochemical systems. Ghislain started postdoctoral studies in neurosciences at MUSC in June 2015.

Maggie Mae Mell, Graduate Student

Maggie Mae graduated from Rutgers University with a B.A. in Psychology in 2005. She is currently working towards her Ph.D. in the Biomedical Imaging program at MUSC.

Mohammad Babakmehr, Ph.D., Post-Doc

Mohammad received his B.S. degree in electrical engineering and his joint M.Sc. degree in biomedical and electrical engineering. He was with the EECS department of Colorado School of Mines, where recently received his Ph.D. in electrical engineering under Prof. Marcelo Simoes. His research interests include Complex network systems, neuro-engineering, compressive sensing, system identification, neural data analytics and smart grids.