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. He is now an Associate Professor in the Department of Neuroscience at the University of Minnesota, and a member of the Medical Discovery Team on Optical Imaging and Brain Science at the Center for Magnetic Resonance Research. He is co-founder and currently Executive Chair of the Conference on Cognitive Computational Neuroscience.
Ghislain St-Yves, Ph.D., Staff Scientist
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.
Tiasha Saha Roy, Ph.D., Post-Doc
Tiasha completed a B.Sc(Hons) degree in Mathematics from the University of Calcutta and M.Sc in Mathematics and Computing from IIT Guwahati. She received her Ph.D. from IISER Kolkata in 2021. Her PhD thesis focused on exploring the neural timeline of different real world perceptual decision making tasks. She is currently a postdoc in the Naselaris Lab.
Koustav Banerjee, Ph.D., Graduate Student
Koustav is a Ph.D. student collaborating with Dr. Daniel Kersten. His current focus is on how implied motion is represented in the brain. He obtained an M.S. in Robotics from the University of Minnesota where his thesis focused on whether scenes that are easier to imagine are easily compressible, and if an imagined image is stochastic. He has a Bachelor's in Electronics Engineering from Ramaiah Institute of Technology, Bangalore. Outside of work, he avidly loves books, arts, and photography.
Mario Serrafero, Ph.D., Graduate Student
Mario is a Ph.D. candidate in Computer Science at the University of Minnesota, where he also received an M.Sc. in Computer Science and a B.A. in Mathematics. Before beginning his doctoral research under Dr. Daniel Boley, he spent several years in industry as a data scientist and analyst. His current research focuses on mechanistic interpretability of artificial neural networks and its applications to computational neuroscience, investigating how insights from learned representations in deep learning models can advance our understanding of neural information processing. Outside of research, Mario enjoys exploring technology from home automation to virtual reality, often tinkering with hardware and software to understand their inner workings -- an obsession left over from his past life in tech journalism.
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