How do biological systems do neural network-like tasks without GPUs and backpropagation? I combine ideas from statistical physics and machine learning to explore how cells might use complex molecular networks to process information, do dimensionality reduction, store memories, and learn.
I am currently a graduate student in the Chemistry PhD program at the University of Chicago, where I am advised by Arvind Murugan and Suri Vaikuntanathan. Before graduate school, I earned my B.S. in Engineering Science and Chemistry from Emory University, where I was an undergraduate research assistant with Brian Dyer.
