Charlotte Adams

In the first year of her PhD, Charlotte Adams investigated post-translational modifications in virus-host protein-protein interactions using open modification searching. She then improved the identification of immunopeptides by generating a ground truth timsTOF dataset and fine-tuning the deep learning model Prosit. Currently, she is exploring the identifiability of proteomics data.

Frédérique Vilenne

Frédérique Vilenne is a Ph.D. candidate affiliated with the University of Hasselt and VITO, under the supervision of Prof. Dirk Valkenborg. Frédérique has an M.Sc. in statistics and data science, specialising in bioinformatics. As part of the “Beyond the Genome”-project, his primary focus will be making mass spectrometry-based proteomics more accessible within a clinical setting through various ways such as identifying spectra with relevant information and identifying more peptides with higher confidence. Frédérique has a personal interest in machine and deep learning frameworks and aims to solve his research questions by leveraging these frameworks.

Ina Devos

As a PhD student affiliated with University of Antwerp and VITO, Ina Devos investigates which ethical issues are relevant in the context of proteomics research. Additionally, they want to explore how proteomics and ethics researchers can collaborate to support and substantiate each others fields. Therefore, she is further developing a Bioethics-in-Science approach built on close engagement, collaboration, and reflection on proteomics and ethics research practices.