Martin Bullinger

Martin Bullinger is a Research Associate at the University of Oxford's Department of Computer Science. His research focuses on computational social choice, algorithmic game theory, and combinatorial algorithms. He completed his PhD at the Technical University of Munich (TUM) under Felix Brandt, with a thesis on computing desirable outcomes in coalition formation, and holds a master's degree in Mathematics from TUM.

His work bridges theoretical computer science and economics, addressing challenges in coalition formation dynamics, hedonic games, and stability mechanisms. Key contributions include studies on individually stable coalition structures, welfare guarantees in Schelling segregation models, and algorithmic strategies for popular coalition recognition.

Prominent publications include 'Reaching Individually Stable Coalition Structures' (ACM TEAC 2023) and 'Welfare Guarantees in Schelling Segregation' (JAIR 2021). His recent research explores online coalition formation stability and fairness in public transportation modeling.

No academic awards or grants are explicitly listed in the provided materials. He advises no students, though collaborates with researchers like Edith Elkind (Oxford) and Warut Suksompong (NUS). No dedicated lab affiliations are mentioned.