Sam earned his PhD in psychology and neuroscience from Princeton University, and did a postdoctoral fellowship at the University of California, Berkeley. Sam uses psychophysical, computational, and neurophysiological techniques to investigate human learning, memory, and cognition. Some of Sam's recent work has focused on how skill learning involves an interaction between executive functions and low-level processes, on mapping and modeling this interaction, and on exploring its effects on decision-making and reinforcement learning. Sam also likes: playing folk music (fiddle & guitar), science journalism, opaque IPAs, and rainy days.
CV ⇾ [link]
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The ACT lab is currently recruiting graduate students and post-docs. We are looking for students and postdocs who are interested in human cognitive psychology and/or cognitive neuroscience, with an emphasis on learning and memory, and with experience in (or an interest in acquiring experience in) designing and performing behavioral experiments, computational modeling, fMRI, neuropsychology, and/or data analysis & statistics. Note, being primarily interested in pursuing one of the above research approaches (behavior, computational modeling, neuroimaging, etc.) is totally fine.
The lab is committed to equality, diversity, and inclusion, and in maintaining a fun, challenging, and supportive research environment for everyone.
If you are interested in joining the lab as a PhD student or postdoc, please email Sam (see the Contact link at the top of the page for info) to discuss your interests and whether the lab would be a good fit. If you are a prospective PhD student and are interested in joining the lab, make sure to submit an application to Yale's PhD program in Psychology this Fall.