Nathan Wu

About

Nathan Wu is a Ph.D. student in the Neuroscience program interested in exploring how biological systems self-organize to perform diverse computations. Graduating with a B.S. in Molecular Biophysics & Biochemistry and Computer Science from Yale University, Wu hopes to approach this question from a broad, interdisciplinary perspective. Wu’s prior research experience has involved examining neural computations in fruit fly motion detection as well as studying the organization of neural cell cultures grown on microelectrode arrays. Wu also enjoys running, hiking, and playing violin.

Research Focus

Wu’s research interests lie at the intersection of neuroscience, biophysics, and computer science. He hopes to uncover general algorithmic principles behind biological self-organization, understanding how learning, development, and evolution constrain or expand a system’s functional capabilities. Wu wishes to explore tools and perspectives from graph theory, dynamical systems, and complex systems theory to achieve these goals.