About

I received my PhD from the Machine Learning Department at Carnegie Mellon University in April of 2020. My advisor was Simon Lucey, and I was previously advised by Fernando de la Torre who moved to Facebook. My research interests span the fields of machine learning and computer vision, including component analysis, sparse coding, and deep representation learning. I was partially funded by the National Defense Science and Engineering Graduate Fellowship.

In 2018, I interned at Argo AI working on three-dimensional perception for self-driving cars. During the summer of 2015, I interned at Google Research where I worked on deep learning for computer vision with Zhen Li. As an undergraduate, I studied computer science and electrical engineering at Washington University in St. Louis and participated in research advised by Robert Pless.

Calvin Murdock
cmurdock@cs.cmu.edu