Léonie started her scientific path at the University of Heidelberg, Germany. She did a BSc and MSc degree in Molecular Biotechnology during which she gradually journeyed from wet lab molecular biology to bioinformatics. She then joined Imperial College London for a Wellcome Trust funded 4-year PhD programme in Theoretical Systems Biology and Bioinformatics. She is now doing her PhD project under the supervision of Sophia Yaliraki and the co-supervision of Simak Ali.
Her research focusses on the application of graph theoretical models onto the analysis of disease relevant proteins. Her research projects include the study of estrogen receptor alpha, a protein that is important in the breast cancer setting and the SARS-CoV-2 main protease which is essential for viral replication. She also explores how to further develop the methodology by incorporating in-silico mutational scans. She is one of the co-authors of ProteinLens.io, an interactive webserver that provides access to the Yaliraki group methodology for the wider research community.
Apart from her PhD project, Léonie is passionate about science communication and education and is a tutor in the Brilliant Club Scholars Programme where she teaches pupils about the chemistry of cupcakes and computer aided drug design.
et al., 2021, ProteinLens: a web-based application for the analysis of allosteric signalling on atomistic graphs of biomolecules, Nucleic Acids Research, Vol:49, ISSN:0305-1048, Pages:W551-W558
et al., 2019, PhyreRisk: a dynamic web application to bridge genomics, proteomics and 3D structural data to guide interpretation of human genetic variants, Journal of Molecular Biology, Vol:431, ISSN:0022-2836, Pages:2460-2466