| Name | Sofia Papadimitriou |
| Association | Postdoc |
| Role | F.R.S. – FNRS Postdoctoral researcher |
| Resume | Sofia is a F.R.S-FNRS postdoctoral researcher in bioinformatics, medical genetics and machine learning at the Machine Learning Group of ULB, the Artificial Intelligence lab of VUB and the Interuniversity Institute of Bioinformatics in Brussels. She is focusing on understanding the causes of oligogenic human diseases using bioinformatics, data analysis and machine learning methods. Her current project concerns the detection of genetic modifiers for retinal diseases. She obtained a joint PhD between the ULB and VUB in September 2020, while she also holds an MSc in Bioinformatics from Wageningen University, the Netherlands and a BSc in Biology from Aristotle University of Thessaloniki, Greece. She has previously (MSc and BSc) conducted research on plant genomics, as well as bacterial genomics and phylogeny. Between 2019 – 2021, she has also been the president of the RSG Belgium, the Belgian branch of the ISCB Student Council’s Regional Student Groups, and chaired the 6th ISCB European Student Council Symposium in September 2021. |
| General info | LinkedIn page: https://www.linkedin.com/in/sofia-papadimitriou/ ResearchGate page: https://www.researchgate.net/profile/Sofia_Papadimitriou4 |
| Education | 2016 – 2020: PhD candidate | Université Libre de Bruxelles & Vrije Universiteit Brussel, Belgium 2014 – 2016: Master of Science in Bioinformatics | Wageningen University, the Netherlands 2008 – 2013: Degree in Biology | Aristotle University of Thessaloniki, Greece |
| Research | Research interests Bioinformatics Medical genetics Oligogenic and complex diseases Machine learning Programming Graph theory, network inference
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| Selected publications | 2022 Nachtegael C. and Gravel B., Dillen A., Smits G., Nowé A., Papadimitriou S.*, Lenaerts T. Scaling up oligogenic diseases research with OLIDA: the Oligogenic Diseases Database. Database. April 2022 (2022), https://doi.org/10.1093/database/baac023
2019 Duerinckx S., Jacquemin V., Drunat S., Vial Y., Passemard S., Perazzolo C., Massart A., Soblet J., Racapé J., Desmyter L., Badoer C., Papadimitriou S., Le Borgne Y.A., Lefort A., Libert F., De Maertelaer V., Rooman M., Costagliola S., Verloes A., Lenaerts T., Pirson I., Abramowicz M. Digenic inheritance of human primary microcephaly delineates centrosomal and non‐centrosomal pathways. Human Mutation. 41 512-524 (2020), https://doi.org/10.1002/humu.23948
Papadimitriou S., Gazzo A., Versbraegen N., Nachtegael C., Aerts J., Moreau Y., Van Dooren S., Nowé A., Smits G., Lenaerts T. Predicting disease-causing variant combinations. Proceedings of the National Academy of Sciences. 116(24), 11878-11887 (2019), https://doi.org/10.1073/pnas.1815601116
Renaux A., Papadimitriou S., Versbraegen N., Nachtegael C., Boutry S., Nowé A., Smits G., Lenaerts T. ORVAL: A novel platform for the prediction and exploration of disease causing oligogenic variant combinations. Nucleic Acids Research, 47(W1), W93-W98. (2019), https://doi.org/10.1093/nar/gkz437
Versbraegen N., Fouché A., Nachtegael C., Papadimitriou S., Gazzo A., Smits G., Lenaerts T. Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases. Artificial Intelligence in Medicine. 99, 101690 (2019), https://doi.org/10.1016/j.artmed.2019.06.006
2017 Schouten HJ., vande Gees H., Papadimitriou S., Bemer M., Schaart JG., Smulders MJM., Sanchez Perez G., Schijlen E.. Re-sequencing transgenic plants revealed rearrangements at T-DNA inserts, and integration of a short T-DNA fragment, but no increase of small mutations elsewhere. Plant Cell Reports 36(3), 493-504 (2017), https://doi.org/10.1007/s00299-017-2098-z * Article corresponding author |
