Jakub Pachocki is a PhD student in computer science at Carnegie Mellon, advised by Gary Miller. Jakub is interested in finding methods to understand and process large networks. His other interests include data structures and convex optimization. Jakub received his bachelor's degree in computer science from the University of Warsaw.
Foundations of Deep Learning , Summer 2019Visiting Scientist
Algorithmic Spectral Graph Theory , Fall 2014Visiting Graduate Student