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  • Vivien van Veldhuizen

Vivien van Veldhuizen

PhD student

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Jonas Teuwen

Veldhuizen Vivien Van

I have a background in artificial intelligence, having completed both my bachelor’s and master’s degrees in AI at the University of Amsterdam. Currently, I am a PhD candidate in the AI for Oncology group at the Netherlands Cancer Institute, supervised by Kevin Groot-Lipman, Jonas Teuwen, and Ritse Mann. I also collaborate closely with the Department of Breast Imaging at Columbia University Irving Medical Center in New York.
My PhD research is part of the aiEMBRACE project, a collaborative initiative that aims to improve breast cancer care by integrating AI throughout the clinical pathway, from screening and diagnosis to treatment planning and follow-up. Within this project, I develop self-supervised learning methods and foundation models for medical imaging, with a particular focus on breast MRI. My work centers on learning from large-scale imaging data to build AI models that can be adapted to a wide range of clinical applications.

Fields of expertise

Computer Vision

Foundation Models

MRI

Work experience

  • 2020–2023 MSc Artificial Intelligence, University of Amsterdam
    Research internship and MSc thesis at AMLab, University of Amsterdam: Geometric Representation Learning using Variational Autoencoders

  • 2022  Research Fellow at Summer Geometry Initiative, Massachusetts Institute of Technology

  • 2021–2023 Project Assistant, VHTO – Dutch National Expert Organisation on Women and Science/Technology

  • 2018–2021 Teaching Assistant Artificial Intelligence, University of Amsterdam 

  • 2018–2021 BA Theatre Studies, University of Amsterdam

  • 2017–2020 BSc Artificial Intelligence, University of Amsterdam
    Minor in Biorobotics

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