Harrison Rosenberg

Harrison Rosenberg
Machine Learning, Signal Processing, Graph Theory, and Engineering Education


Harrison Rosenberg joined the Optimization Group at the University of Wisconsin-Madison in 2017; he is now a Ph.D. Student. He earned his B.S. in Electrical Engineering and Computer Sciences at the University of California, Berkeley.

At Berkeley, Harrison participated in Professor Michael Lustig's research group, where he was mentored by Frank Ong. Harrison worked on MRI and Signal Processing related projects.

Harrison spent the 2016-2017 academic year as Head TA of Berkeley's large-scale introductory Electrical Engineering course: EE 16A, which had initial enrollments of roughly 700. In this role, he worked closely with Professors Elad Alon, Babak Ayazifar, and Vladimir Stojanovic.


B.S., Electrical Engineering and Computer Sciences, University of California, Berkeley

Research Description

Harrison's research focuses on the intersection of Machine Learning, Signal Processing, Graph Theory, and how recent developments in the fields should impact Engineering Education.


  • Wisconsin Distinguished Graduate Fellowship, 2017-2018
  • LUCID Traineeship