Martin Bullinger

Lecturer in Artificial Intelligence


School of Engineering Mathematics and Technology, University of Bristol


martin.bullinger['at']bristol.ac.uk · Google Scholar · DBLP







Profile Picture of Martin Bullinger

I am a lecturer in artificial intelligence at the University of Bristol since October 2025. Previously, I was a postdoctoral researcher in the group of Edith Elkind at the University of Oxford between September 2023 and September 2025. Before that, I obtained a PhD degree from the Technical University of Munich under the supervision of Felix Brandt. My PhD thesis is on Computing Desirable Outcomes in Coalition Formation. I also hold a master's degree in Mathematics from TU Munich.

I have a particular interest in topics related to computational social choice, algorithmic game theory, combinatorial algorithms, and computational complexity. My research covers various scenarios in multi-agent systems with a focus on coalition formation. Other topics that I study include matching markets, the emergence of segregation, understanding polarization, and voting theory. While I mostly apply algorithmic methods (like the efficient computability and computational boundaries of solution concepts), I am also intrigued by socio-scientific and philosophical paradigms.

I am looking for PhD students! I am currently advertising projects on Counteracting Polarisation and AI-Assisted Theorem Proving. Please get in touch if you are interested in working on these or related topics. The University of Bristol, recently crowned AI University of the Year, provides an excellent research environment.