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neural computations in social behavior

understanding emotional states and neuropsychiatric disorders through the lens of dynamical systems and computational neuroscience

I'm a Postdoctoral Fellow and an NIH NeuroAI Early Career Scholar at Caltech and Stanford University, working with Scott Linderman, Pietro Perona and David J Anderson, where I combine experimental and theoretical tools to understand social behavior. I completed my PhD in Computation and Neural Systems at David Anderson's lab at Caltech, where I was also National Science Graduate Fellow of the Agency of Science, Technology and Research (a*star), Singapore. In my work, I hope to redefine the way we think of emotional behaviors and neuropsychiatric disorders by studying emotions like aggression through the lens of dynamical systems and machine learning. I'm passionate about changing the narrative of mental health and, by re-conceptualizing mental disorders with the computational properties of neural circuits in mind, I hope we can begin embracing the diversity in how these disorders are expressed.

I obtained my undergraduate degree from the National University of Singapore, where I worked on integrating experimental and computational tools to study molecular pathways in Parkinson's Disease with Lim Kah Leong. I worked on dissecting microcircuits of the striatum with Gilad Silberberg at the Karolinska Institute as an Erasmus Scholar. I also spent a postbaccalaureate year as a National Science Scholar at a*star, Singapore, working with George Augustine on the co-release of neuromodulators from the basal forebrain.

Contact me over email at adi.nair@caltech.edu or on twitter and find my CV here.