Anthony D. Wagner, Ph.D.

Wagner (PhD '97, Stanford) is a Lucie Stern Professor in the Department of Psychology and a deputy director of the Wu Tsai Neurosciences Institute at Stanford University. He has served on the board of Stanford's Center for Cognitive and Neurobiological Imaging and is a faculty affiliate of the Symbolic Systems Program, Human Biology Program, and Stanford Center on Longevity. His basic science focuses on the psychology and neurobiology of learning, memory, and executive function in young and older adults. His translational research examines aging and Alzheimer's disease, the relationship between multitasking and cognition, and the implications of neuroscience for law. He is a Reviewing Editor at Cerebral Cortex and Cerebral Cortex Communications, and serves on several other editorial boards.

Postdoctoral Fellows

Tammy Tran, Ph.D.

Tammy (PhD ’19, Johns Hopkins) is a Postdoctoral Fellow in the Wagner Lab. Tammy is interested in examining the neural mechanisms underlying memory encoding in young adults and how these processes may change in aging and Alzheimer’s disease. She uses a combination of behavioral experiments as well as high-resolution structural and functional neuroimaging to answer these questions as part of the Stanford Aging and Memory Study.

Ali Trelle, Ph.D.

Ali (PhD '16, Cambridge) is a Postdoctoral Fellow in the Wagner Lab. She is interested in the neural mechanisms supporting episodic memory, and how these are affected by aging and Alzheimer's disease. Ali leads the Stanford Aging and Memory Study, a large-scale longitudinal project examining individual differences in episodic memory in older adults. Her research combines structural and functional MRI, PET imaging, and analysis of molecular and genetic risk factors for Alzheimer's disease.

Graduate Students

Tyler Bonnen

After transferring from Miami-Dade Community College, Tyler studied chemistry and comparative literature at Columbia University. He went on to research fellowships in the Max-Planck Institute in Leipzig, and then in the Department of Brain and Cognitive Sciences at MIT. In the Stanford Memory Lab, he uses biologically plausible computational models, neural data, and animal behavior, in order to formalize the relationship between perception and memory. Tyler is an NSF Graduate Student Research Fellow co-advised by Anthony Wagner and Daniel Yamins.

Corey Fernandez

Corey (B.A. ’12, Columbia) is a Neuroscience PhD Student in the Wagner Lab. She is interested in the processes that organize memory representations into ‘cognitive maps’ that guide future behavior. Her work in the lab combines fMRI, virtual reality navigation tasks, and neural pattern similarity analyses to examine how we integrate new experiences with existing memory representations and flexibly update our knowledge across learning. Corey is a Regina Casper Graduate Research Fellow.  

Marc Harrison

Marc (B.S. ’14 Cornell) is a Psychology PhD student in the Wagner Lab. He is interested in healthy older adults' ability to encode and retrieve episodic memories. Specifically, he is investigating if individual differences in memory for older adults can be explained through altered encoding and cognitive control neural mechanisms. His work leverages neuroimaging, neuropsychology, and multivariate statistical analysis. 

Shaw Hsu

Shaw (B.A. ’15, UC Berkeley) is a Biophysics PhD student in the Wagner Lab. He is interested in memory processes and their interactions with selective attention. His work uses a combination of behavioral, neuroimaging, and electrophysiological methods. 

Douglas Miller

Douglas (B.A. ’17 UC Davis) is a Psychology PhD student in the Wagner Lab. He is interested in understanding how attentional states affect learning and subsequent memory strength. His work leverages a combination of behavioral, and neuroimaging and electrophysiological methods.

Shawn Schwartz, M.S.

Shawn (B.S. ’19, M.S. ’21, UCLA) is a Psychology Ph.D. student in the Wagner Lab. He is interested in the neural mechanisms governing selective encoding and retrieval of episodic memories. He aims to understand the role of goal and attentional states on selective memory for competing important information in younger and older adults. His work leverages computational modeling approaches and multivariate statistical methods to analyze behavioral and neural data. Shawn’s prior training in computational macroevolutionary biology inspires him to consider novel implementations of high-throughput, big data approaches to ask and answer neurobiological questions with basic science and translational aims.

Research Staff

Jen Park

Jen (B.A. '19, University of Southern California) is a Clinical Research Coordinator Associate in both the Mormino and Wagner Labs. Before coming to Stanford, Jen worked at UC Davis at the Cognitive Electrophysiology and Neuroimaging Lab that seeks to develop methods sensitive to cognitive impairments of neurodegenerative diseases, and then was most recently working on the KHANDLE study that looks to shed light on racial & ethnic differences in aging, cognitive decline and dementia incidence. Jen's research interests are in the early detection of Alzheimer's Disease & other neurodegenerative diseases and in better understanding changes that occur in the brain in aging and preclinical AD. 

Julia Rathmann-Bloch

Julia Rathmann-Bloch (B.S. '21, Stanford) is a research coordinator in the Wagner lab. Her undergraduate honors research employed multivariate fMRI analyses to identify and characterize memory representations during learning in an immersive navigational environment. Using cognitive neuroscience methods, she aims to study how memory shapes experience. 

America Romero

America Romero (B.S. '21, Cal Poly SLO) is a research coordinator in both the Mormino and Wagner labs. At Cal Poly, she conducted research in Dr. Kelly Bennion’s lab, studying retroactive interference and facilitation in learning and memory. America’s senior thesis investigated how attention affects emotional false memory. America’s research interests include investigating factors that predict memory performance using neuroimaging and behavioral methods.