The Minds
Behind the Vision

Our team is a diverse group of researchers dedicated to grounding artificial intelligence in the principles of nature, geometry, and physics.

Research Team

Sharvaree Vadgama

Sharvaree Vadgama

PhD Candidate

AMLab

Geometric Representation Learning & Generative ML

Putri van der Linden

Putri van der Linden

PhD Candidate

AMLab

Geometric Deep Learning & Uncertainty

David Wessels

David Wessels

PhD Candidate

AMLab

Geometric Representation Learning & Histopathology

Alejandro García Castellanos

Alejandro García Castellanos

PhD Candidate

AMLab

Geometry, Invariant Theory & Probabilistic Modeling

Olga Zaghen

Olga Zaghen

PhD Candidate

AMLab

Geometric & Topological Deep Learning

Mohammad Islam

Mohammad Islam

PhD Candidate

qurAI

Geometry & Uncertainty in Medical Im. (Ophthalmology)

Ylva Weeda

Ylva Weeda

PhD Candidate

AUMC

AI in Histopathology, Personalised Immunotherapy

Michel Botros

Michel Botros

PhD Candidate

qurAI

AI in Histopathology (Esophageal Adenocarcinoma)

Thijs Kuipers

Thijs Kuipers

PhD Candidate

AUMC

Geometry & Generative AI in Stroke

Maria Esteban Casadevall

Maria Esteban Casadevall

PhD Candidate

AMLab ELLIS

Geometric Deep Learning

Friso de Kruiff

Friso de Kruiff

PhD Candidate

AMLab CuspAI

Geometric Deep Learning & Materials Science

Soufiane Ben Haddou

Soufiane Ben Haddou

PhD Candidate

qurAI

Medical Imaging AI

Cong Liu

Cong Liu

PhD Candidate

AMLab AI4Science

Protein Design & Generative Modeling

Alumni

Daniël Rademaker

Daniël Rademaker

Postdoc (Former)

AMLab BiosysDataGroup Biocatalysis

Structural Bioinformatics

Artem Moskalev

Artem Moskalev

PhD (Graduated)

Representation Learning with Structured Invariance

David Romero

David Romero

PhD (Graduated)

The Good, the Efficient and the Inductive Biases