Sofia Papadimitriou

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General info

Name

Sofia Papadimitriou

Association

Postdoc

Role

Postdoctoral researcher

Email

sofia.papadimitriou@ulb.ac.be

Resume

Sofia is a 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. 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. 

Since January 2019, she is also the president of the RSG Belgium, the Belgian branch of the ISCB Student Council’s Regional Student Groups. She has contributed in the organisation of several symposia and hackathons in Belgium and chaired the 6th ISCB European Student Council Symposium. 

General info

LinkedIn pagehttps://www.linkedin.com/in/sofia-papadimitriou/

ResearchGate pagehttps://www.researchgate.net/profile/Sofia_Papadimitriou4

Education

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

Research interests

Bioinformatics

Medical genetics

Oligogenic and complex diseases

Machine learning

Programming

Graph theory, network inference

 

Selected publications

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 Mutation41 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 Sciences116(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

 

    Gkelis S., Panou M., Konstantinou D., Apostolidis P., Kasampali A., Papadimitriou S., Kati D., Di Lorenzo GM., Ioakeim S., Zervou S-K., Christophoridis C., Triantis TM., Kaloudis T., Hiskia A., Arsenakis M. Diversity, Cyanotoxin Production, and Bioactivities of Cyanobacteria Isolated from Freshwaters of Greece. Toxins 11(08), 436 (2019), https://doi.org/10.3390/toxins11080436

 

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