Alyssandra Valenzuela, Lab Manager
Alyssandra was the Research Coordinator for both the Computational Cognitive Neuroscience Lab as well as the Computational Cognitive Neuroscience & Machine Learning Labs from 2019-2020. Before joining the lab, Alyssandra received her Bachelor’s degree from Johns Hopkins University in the Department of Cognitive Science, with a focus on Neuroscience and Cognitive Neuropsychology.
Gemma Nicholson, MA Student
Gemma completed her MA in the Department of Cognitive Science in 2020 (the lab's first graduate!) Before coming to JHU, she completed her undergraduate studies at Quinnipiac University while working as a research assistant in both the Schizophrenia Neuropharmacology Research Group and the Computation and Cognitive Development Lab at Yale University. Gemma is now a Senior Research Analyst at Allegient Defense where she is directly supporting the Office of Naval Research. Gemma is closely supporting Dr. Rebecca Goolsby who heads the Social Networks and Computational Social Science research, and Dr. Ray Perez in Cognitive Science for Naval Adaptive Training.
Diana Dima, Postdoc
Before joining the lab, Diana worked with Krish Singh at Cardiff University Brain Research Imaging Centre in Wales. She also completed her PhD in Cardiff, where she investigated face and scene perception using MEG.
Diana is currently a postdoc at Western University.
Cora Roy, Undergraduate RA
Cora is a senior Systems Neuroscience undergrad at JHU. Prior to joining the lab, she worked in Connectome research at the JHU Applied Physics Lab. She is now interested in human social interactions and is working with Diana.
Susan Liu, Undergraduate RA
Susan is a Computer Science and Cognitive Science undergraduate student at JHU. She is interested in visual cognition and computer vision.
Bethany Kemp, Undergraduate RA
Bethany is a sophomore undergraduate majoring in Computer Engineering and Cognitive Science. She is working with Diana and is interested in brain-computer interfaces and the neural computations underlying human vision.