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cMAP Lab People
Rosie received her BA from the University of Cambridge, UK, and her PhD from the University of Oxford, UK. She joined the faculty of UMass Amherst in the fall of 2013. She is trained in computational cognitive neuroscience, animal neuropsychology, cognitive psychology and fMRI.
Rosie Cowell, PhD - CV
Assistant Professor, Department of Psychological and Brain Sciences
rcowell [at] psych [dot] umass [dot] edu
Dave Huber, PhD
Professor, Department of Psychological and Brain Sciences
Dave received his PhD from the University of Indiana. He was a faculty member at the University of Maryland and at UC San Diego before joining UMass Amherst in 2013. His lab (CEMNL) uses mathematical modeling, cognitive experiments and EEG to investigate perception and memory.
Will Hopper
Grad Student, Department of Psychological and Brain Sciences
Will received his BA in Psychology from UC San Diego. He is interested in episodic memory and face processing from a computational and cognitive neuroscience perspective.
Principal Investigator
© Cowell Lab 2017, University of Massachuetts, Amherst.
Krystal Leger - Senior, Psychology and Neuroscience, UMass
Tingshan Liu - Junior, Neuroscience and Mathematics, Smith College
Ethan Harris - Senior, Psychology and Neuroscience, UMass
Andrea Mayoral de la Pascua - Junior, Psychology and Spanish, UMass
Sandrine Jabbour - Junior, Biochemistry, UMass
Kathryn Orlando, - Junior, Psychology and Neuroscience, UMass
Reagan Katulege - Senior, Biochemistry and Neuroscience, UMass
Idil Ozdemir - Junior, Neuroscience, Amherst College
Nadine Juweid - Junior, Psychology, UMass
Kimberly Beliard - Sophomore, Psychology, UMass

The cMAP lab works closely with the Cognitive Experiments, Models and Neuroscience Lab at UMass Amherst. Members of the CEMNL lab include:
Undergraduate Research Assistants
Graduate Students
Merika Wilson
Graduate Student, Department of Psychological and Brain Sciences

dmerikawilso [at] umass [dot] edu

Merika received her BS from St. Lawrence University. She is interested in understanding the neural basis of recognition memory impairments. Her current project examines visual object processing in healthy subjects using fMRI to test a theory of brain damage-induced amnesia.
Patrick Sadil
Graduate Student, Department of Psychological and Brain Sciences
psadil [at] psych [dot] umass [dot] edu

Patrick graduated with a BA in Biology from Reed College, in 2014. He is interested in the neural mechanisms of visual memory and perception. Previous and current projects involve building neural network models of cognition, using Continuous Flash Suppression to investigate memory without awareness of encoding, and developing new ways to apply Bayesian models to behavioral data from memory tasks.
Postdoctoral Researchers
David Ross
Postdoctoral Researcher, Department of Psychological and Brain Sciences
davidross [at] umass [dot] edu

David received his BSc from Stirling University (UK), PhD from Cardiff University (UK) and then completed a post-doc at Vanderbilt University, where he used computational modeling and fMRI to look at visual expertise and object recognition. He is currently working on combining computational and imaging methods to constrain and advance models of visual recognition and memory.
Kevin Potter
Postdoctoral Researcher, Department of Psychological and Brain Sciences

Kevin received his BA from Grinnell College, and his Ph.D. from Ohio State University. He is interested in Bayesian statistics, mathematical models of simple choice and response times, and the application of these techniques and models to a wide number of areas, from personality constructs to memory.
Helena Jacob
Graduate Student, Neuroscience and Behavior Program

Helena received her BS in Biological Sciences from the Federal University of Rio de Janeiro. She is interested in computational neuroscience and brain imaging techniques (EEG and fMRI) to study memory and perception.
computational Memory and Perception Lab
Nick Blauch
Lab Manager
nblauch [at] umass [dot] edu

Nick received his BS from UMass Amherst in 2017 with an individual concentration in Cognitive Computational Neuroscience. Nick seeks to understand the brain and mind by building biologically-inspired computational models, and testing them using psychophysics, neuroscience, and model simulations. One ongoing project examines the extent to which face processing is domain-specific, and another project examines neural and perceptual “spaces”, including face space and color space.