Instructors

Professors

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Luke Chang, PhD (Fall 2020) is an Assistant Professor of Psychological and Brain Sciences at Dartmouth College and directs the Computational Social Affective Neuroscience Laboratory. He completed a BA in psychology at Reed College, an MA in psychology at the New School for Social Research, and a PhD in clinical psychology and cognitive neuroscience at the University of Arizona with Alan Sanfey, PhD. He completed his predoctoral clinical internship training in behavioral medicine at the University of California Los Angeles and a postdoctoral fellowship at the University of Colorado Boulder under the mentorship of Tor Wager, PhD. His research program is focused on understanding the neurobiological and computational mechanisms underlying emotions and social interactions. Professor Chang is highly committed to innovating training in methods. He is the lead developer of the dartbrains course, the nltools python data analysis project, the Computational Social and Affective Neuroscience community page, and Co-Director of the Methods in Neuroscience at Dartmouth Computational Summer School.

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Emily Finn, PhD (Winter 2021) is an Assistant Professor of Psychological and Brain Sciences at Dartmouth College and directs the Functional Imaging & Naturalistic Neuroscience (FINN) Lab. She completed a BA in linguistics at Yale University and a PhD in neuroscience, also at Yale. She then did her postdoctoral training in the Section on Functional Imaging Methods in the Laboratory of Brain and Cognition and the National Institute of Mental Health. Her research is focused on individual variability in brain activity and behavior, especially as it relates to appraisal of ambiguous information under naturalistic conditions. Professor Finn is committed to the ideals of open science, including data and code sharing (see examples here, here, and here, and to helping train other scientists in innovative new methods for neuroimaging data acquisition and analysis.

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Tor Wager, PhD (Spring 2021) is the Diana L. Taylor Distinguished Professor in Neuroscience at Dartmouth College. He received his Ph.D. from the University of Michigan in Cognitive Psychology in 2003, and served as an Assistant (2004-2008) and Associate Professor (2009) at Columbia University, and as Associate (2010-2014) and Full Professor (2014-2019) at the University of Colorado, Boulder. Since 2004, he has directed the Cognitive and Affective Neuroscience laboratory, a research lab devoted to work on the neurophysiology of affective processes—pain, emotion, stress, and empathy—and how they are shaped by cognitive and social influences. Dr. Wager and his lab are also dedicated to developing analysis methods for functional neuroimaging and sharing ideas, tools, and scientific data with the scientific community and public. See https://canlab.github.io for papers, data, tools, and code.

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Jeremy Huckins, PhD (Fall 2019) is a Lecturer and Post-Doctoral researcher in the department of Psychological and Brain Sciences at Dartmouth College. He completed a BA in Neuroscience at Bowdoin College, worked with as a researcher with the King Lab at Harvard Medical School then completed a PhD in Experimental and Molecular Medicine at Dartmouth College. His current research program is focused on gaining insights into mental health using fMRI and mobile smartphone sensing.

Teaching Assistants

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Sharif Saleki (Fall 2020) is a graduate student at Dartmouth College. He recieved his BA in Psychology and MSc in Cognitive Science. After a period of research on visual attention at Tehran University of Medical Science’s Brain and Behavior Laboratory, he joined Professor Peter Tse’s lab at Dartmouth to study attention and its role in constructing conscious visual perception.

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Bryan Gonzalez (Spring 2020) is a graduate student at Dartmouth college working with Luke Chang. He received his BA and MA from NYU. After a stint as a producer in creative media industries, his interest in research began in the Social Relations Lab at Columbia University studying speech mimicry. He later spent time learning polysomnography at Weill Cornell before coming to NYU Langone as a senior research coordinator. There, his efforts focused on finding biological markers of PTSD. At Dartmouth, Bryan is primarily interested in the computational mechanisms underpinning theory of mind across perceptual, behavioral and cognitive domains. His research is strongly influenced by reinforcement learning models, and probes mental state attribution in action understanding, preference learning, and anthropomorphism in human-robot interaction. Bryan is also passionate about promoting diversity in STEM education. In his free time, he loves running, live music, and curling up with his cat, “Puppy”.

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Kirsten Ziman (Fall 2019) is a graduate student at Dartmouth college. She completed her bachelor’s in Neuroscience at the University of Southern California, and worked in research settings at USC and UCLA before joining the Dartmouth community. Currently, she is studying attention and memory with professor Jeremy Manning.

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Sasha Brietzke (Spring 2019) is graduate student at Dartmouth College. She completed a BA at Johns Hopkins University and an IRTA postbac fellowship at the NIH. She currently works in the Dartmouth Social Neuroscience Lab investigating the self through a social cognitive lens.