Research Team
Sharvaree Vadgama
PhD Candidate
Geometric Representation Learning & Generative ML
Putri van der Linden
PhD Candidate
Geometric Deep Learning & Uncertainty
David Wessels
PhD Candidate
Geometric Representation Learning & Histopathology
Alejandro García Castellanos
PhD Candidate
Geometry, Invariant Theory & Probabilistic Modeling
Olga Zaghen
PhD Candidate
Geometric & Topological Deep Learning
Mohammad Islam
PhD Candidate
Geometry & Uncertainty in Medical Im. (Ophthalmology)
Ylva Weeda
PhD Candidate
AI in Histopathology, Personalised Immunotherapy
Michel Botros
PhD Candidate
AI in Histopathology (Esophageal Adenocarcinoma)
Thijs Kuipers
PhD Candidate
Geometry & Generative AI in Stroke
Maria Esteban Casadevall
PhD Candidate
Geometric Deep Learning
Friso de Kruiff
PhD Candidate
Geometric Deep Learning & Materials Science
Soufiane Ben Haddou
PhD Candidate
Medical Imaging AI
Cong Liu
PhD Candidate
Protein Design & Generative Modeling
Alumni
Daniël Rademaker
Postdoc (Former)
Structural Bioinformatics
Artem Moskalev
PhD (Graduated)
Representation Learning with Structured Invariance
David Romero
PhD (Graduated)
The Good, the Efficient and the Inductive Biases