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. His research topics include the generative capabilities of the human visual system, neural decoding, and modeling the brain’s response to the natural environment. Key publications include: Naselaris T., Kay K.N. (2015). Resolving ambiguities of MVPA using explicit models of representation. Trends in Cognitive Neurosciences 19(10): 551-554. Pearson J., Naselaris T., Holmes E.A., Kosslyn S.M. (2015). Mental imagery: Functional mechanisms and clinical applications. Trends in Cognitive Sciences 19(10): 590-602. Naselaris, T., Prenger, R.J., Kay, K.N., Oliver, M.D., Gallant, J.L. (2009). Bayesian reconstruction of natural images from human brain activity. Neuron, 63, 902-915.