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Adam Claridge-Chang

Associate Professor, Signature Research Programme in Neuroscience & Behavioural Disorders

66016963
Duke-NUS Medical School

Bio

Adam did his undergraduate studies at the Australian National University. He pursued his doctoral work on circadian rhythms with 2017 Nobel laureate Michael Young at The Rockefeller University, where he was the first to show that animal circadian clocks controlled hundreds of oscillating genes throughout the nervous system. Adam did his postdoctoral work on olfactory learning with 2020 Shaw Prize awardee Gero Miesenböck at Yale University. His postdoctoral work was the first to use optogenetic memory implantation to show that dopaminergic signals were instructive to learning. This project was the beginning of his interest in the neuromodulatory control of emotional behaviors.
After becoming independent, he was a Nuffield Leadership Fellow at the University of Oxford where he started to develop the first invertebrate behavioral model of anxiety. At Duke-NUS, he has focused on developing and using novel tools for neuroscience. He was the first to use meta-analyses on anxiety and memory model systems, work that led to developing software tools to enable scientists to use effect sizes, a tool that is now transforming the overall data-analysis landscape. He was the first to develop tools in the major small-animal genetic models for potent optogenetic neuronal inhibition, work that continues in the lab. His lab is focused on synapse function and structure: investigating the effect on neuromodulators (dopamine, serotonin, octopamine) on behaviors that include memory, valence, sleep, and feeding; and the protein network of the post-synapse and associated structures.

Education

Doctor of Philosophy

Rockefeller University, United States

Bachelor of Science with Hons

Australian National University, Australia

NUS Appointment(s)

Associate Professor

Duke-NUS Medical School, Currently Active

Associate Professor - Adjunct

National University of Singapore, Currently Active

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