Swartz Postdoctoral Fellows

Elliott Abe

Elliott received his Ph.D. at the University of Oregon, where he was advised by Dr. Cristopher Niell and Dr. James Murray. During this time his research primarily focused on developing computational and theoretical models of visual processing during natural behaviors.
Elliott’s research aims to establish general principles of brain computations that can be applied across different contexts, drawing on insights and techniques from a range of disciplines including neuroscience, machine learning, and physics. Now as a postdoctoral researcher under the mentorship of Dr. Bing Brunton, his research focuses on the neural mechanisms that underlie agile and robust sensorimotor control accounting for neurobiological and biomechanical constraints.

Yusi Chen

Yusi received her PhD from the University of California, San Diego, mentored by Dr. Terrence Sejnowski, and earlier her undergraduate degree from Tsinghua University. She is interested in understanding computation principles in the brain using tools from machine learning, neural dynamics and information theory. She’s now examining the precision of spike timing and conductance delays across various brain regions, shedding light on the brain’s implementation of predictive and postdictive learning mechanisms. Her previous work also includes efficient causality inference from high-dimensional time traces and pose estimation from kinematic measures. For her most recent publications and projects, please visit her personal webpage at https://yschen13.github.io