As of June 2022, I am a tenure-track assistant professor at RWTH Aachen University where I lead the LoG (Learning on Graphs) group. 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.
In Aachen, I supervise two great PhD students Luis Müller and Chendi Qian.
My research combines techniques from machine learning, graph algorithms, and CS theory and revolves around the following questions:
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
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)Semester | |
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WS 23/24 | Seminar (Master): Foundations of Supervised Machine Learning with Graphs |
Seminar (Bachelor): Maschinelles Lernen mit Graphen | |
SS 23 | Class (Master): Foundations and Applications of Machine Learning with Graphs |
Seminar (Bachelor): Maschinelles Lernen mit Graphen | |
WS 22/23 | Seminar (Master): Foundations of Supervised Machine Learning with Graphs |
Seminar (Master): Machine Learning for Combinatorial Optimization |