About Me

2023 Summer intern at the Allen Institute for AI (AI2) in Seattle.
2021 - present - PhD Candidate at the University of Amsterdam.
2019-2021 - ML engineer and team lead at DPG Media. I worked on responsible news recommendation for major Dutch news titles such as de Volkskrant, het Parool, AD and nu.nl, reaching roughly 10 million users a day.
2019 - Research intern at DPG Media working on interpretability in transformers for abstractive summarization (master thesis).
2018 - Research intern at Infosys in Bangalore working on robotic navigation in controlled environments.
2016-2017 - ML researcher at YoungCapital working on finding relevant candidates given a vacancy and vice versa.

Undergraduate and graduate degree in Artificial Intelligence from the University of Amsterdam. Spent one semester at the University of Toronto. Focus on NLP, deep learning and ML theory.
Master thesis under supervision of Maartje ter Hoeve, Anne Schuth, Marlies van der Wees and Maarten de Rijke at DPG Media and the Information and Language Processing Systems institute. This resulted in two papers.

2023 - PhD teaching assistant for DL1 and NLP1.
2022 - PhD teaching assistant for Deep Learning 1, a first year MSc AI course.
2021 - PhD teaching assistant for Natural Language Processing 1, a first year MSc AI course.
2021 - Guido Ansem, MSc AI VU. Fact preserving text generation. Co-supervised with Lucas de Haas and Peter Bloem.
2020–2021 - Claartje Barkhof, MSc AI UvA. Information Flow in VAEs. Co-supervised with Lucas de Haas, David Stap and Wilker Aziz.
2019–2020 - Henning Bartsch, MSc AI UvA. Neural News Recommendation. Co-supervised with Lucas de Haas and Maartje ter Hoeve.