Scholar
Martijn Gösgens
Google Scholar ID: iusaOxAAAAAJ
CWI Amsterdam
Citations & Impact
Citations
141
H-index
5
i10-index
5
Publications
17
Co-authors
9
list available
Resume
Academic Achievements
- Published research on the relationship between community detection methods and hyperspherical geometry; analyzed popular validation measures for machine learning tasks, leading to recommendations, with papers published at ICML2021 and NeurIPS2021; contributed to epidemiological modeling during the COVID-19 pandemic, resulting in a publication in JRSI.
Research Experience
- Currently a Postdoctoral Researcher at CWI Amsterdam, working on optimizing under uncertainty, particularly robustifying Gradient Descent to adversarial gradient perturbations; also a Postdoctoral Researcher at Toronto Metropolitan University, studying asynchronous majority dynamics on random graphs under the supervision of Pawel Pralat.
Education
- PhD from Eindhoven University of Technology (2020-2024), supervised by Remco van der Hofstad and Nelly Litvak, focusing on community detection in random graphs.
Background
- Research interests include (distributionally) robust optimization, asynchronous majority dynamics, community detection, and validating validation measures. Specializes in community detection within complex networks and optimizing under uncertainty.
Miscellany
- Wrote blogs for KNAW and NEMO Kennislink as part of Faces of Science, offering insights into the lives and work of young scientists; developed interactive visualizations to explain network theory to non-mathematicians.
