Christopher Morris

As of June 2022, I am a tenure-track assistant professor at RWTH Aachen. Before joining RWTH, I was a postdoc at the Mila - Quebec AI Institute and McGill University in the group of Siamak Ravanbakhsh and a postdoc at Polytechnique Montréal in the group of Andrea Lodi. Before my Montréal stint, I was a PhD student at TU Dortmund University advised by Petra Mutzel and Kristian Kersting. My PhD research was generously supported by the German Research Foundation, through the Collaborative Research Center SFB 876 - Providing Information by Resource-Constrained Data Analysis, Project A6.

I develop machine learning methods for graphs, network, and relational data.

My research combines techniques from machine learning, graph algorithms, and CS theory, and revolves around the following questions:

  1. How do we effectively capture the structure of graphs and networks in a data-driven manner?
  2. How can we scale up such methods for large-scale data?
  3. How can such methods make combinatorial algorithms faster in a data-driven manner?

For more details, please see my CV. You can also find me on Twitter and GitHub.

Fun Fact: My Erdős number is at most 3 (via Petra Mutzel → Bojan Mohar → P. Erdős)

Email: morris[ät]cs.rwth-aachen[dot]de

I am starting a new group at RWTH Aachen in Germany and have multiple openings for fully-funded PhD positions.

If you are a CS student at RWTH and interested in writing a bachelor or master thesis in my group, click here.

 

Publications (Scholar)

Conference Papers

Journal Papers

Book Chapters

Workshop Papers

Working Papers

Thesis

Teaching

Semester
WS 22/23   Seminar (Master): Foundations of Supervised Machine Learning with Graphs
Seminar (Master): Machine Learning for Combinatorial Optimization