Team

Sharvaree
Vadgama

PhD candidate

Geometric Representation Learning and Generative ML

 s.p.vadgama@uva.nl

        

Putri
van der Linden

PhD candidate

Geometric Deep Learning and Uncertainty Quantification

 p.a.vanderlinden@uva.nl

           

Michel
Botros

PhD candidate

AI in Histopathology (Esophageal Adenocarcinoma)

 m.botros@uva.nl

     

Mohammad
Islam

PhD candidate

Geometry and Uncertainty in Medical Im. (Ophthalmology)

 m.m.islam@uva.nl

           

Ylva
Weeda

PhD candidate

AI in Histopathology, personalised immunotherapy

 y.a.weeda@amsterdamumc.nl

     

David
Wessels

PhD candidate

Geometric Representation Learning and Histopathology

 d.r.wessels@uva.nl

           

Thijs
Kuipers

PhD candidate

Geometry and Generative AI in Stroke (Brain Vasculature)

 t.p.kuipers@uva.nl

        

Alejandro
García Castellanos

PhD candidate

Geometry, Invariant Theory, and Probabilistic Modeling

 a.garciacastellanos@uva.nl

           

Olga
Zaghen

PhD candidate (co-supervised by Rita Fioresi (Unibo))

Geometric and Toplogical Deep Learning

 o.zaghen@uva.nl

           

Daniël
Rademaker

Post doc

Structural Bioinformatics

 d.t.rademaker@uva.nl

        

Alumni

Artem
Moskalev

PhD candidate

PhD Thesis: Representation Learning with Structured Invariance

 ammoskalevartem@gmail.com

           

David
Romero

PhD candidate

PhD Thesis: The Good, the Efficient and the Inductive Biases

 dwromerog@gmail.com

           

Interested in Joining?

If you are a MSc student at UvA and interested in collaborating on a thesis project, contact me via email. Indicate which areas you are interested in and attach a CV, including a complete record of your courses and grades.