Scholar
Marc Hellmuth
Google Scholar ID: 4ja1NHsAAAAJ
Associate Professor, Stockholm University
Citations & Impact
Citations
871
H-index
17
i10-index
29
Publications
20
Co-authors
20
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Research areas include Discrete Mathematics (Graph Theory, Discrete Optimization, Combinatorics)
- Computational Complexity ((Co)NP-completeness, Fixed-Parameter Tractability)
- Design and solution techniques for Integer Linear Programs (ILPs)
- Development of efficient exact algorithms, heuristics, and approximation algorithms with provable guarantees
- Matroid Theory, embeddings of combinatorial objects into orientable manifolds
- Network-based analysis of experimental data and statistical learning
- Interdisciplinary contributions: mathematical foundations and efficient heuristics for (Reciprocal) Best Matches, algorithms for inferring Horizontal Gene Transfer, phylogenomics, orthology detection, rare genomic events
- Modeling self-assembling nanostructures (proteins, RNA), atom tracking in chemical reaction networks, combinatorial RNA secondary structures, gene/PPI interaction networks, sonification of sequence alignments
Research Experience
- Associate Professor, Department of Mathematics, Stockholm University, Sweden (since 2020)
- Lecturer, School of Computing, University of Leeds, UK (2020)
- Junior Professor for Biomathematics and Computer Science, University of Greifswald, Germany (2015–2020)
- Venia Legendi (habilitation), Saarland University, Germany (2016)
- PostDoc at Saarland University (2011–2015), Max-Planck-Institute for Computer Science (2011), University of Leipzig and Max-Planck-Institute for Mathematics in the Sciences (2010–2011)
- Frequent visiting researcher at institutions including Yale University (USA), Université de Montréal (Canada), University of Southern Denmark, University of Ljubljana (Slovenia), PICB Shanghai, and Nankai University (China)
