Marie-France Sagot | |
---|---|
Alma mater | University of São Paulo (BSc) Paris Diderot University (MAS) University of Paris-Est Marne-la-Vallée (PhD) |
Awards | ISCB Fellow (2019) |
Scientific career | |
Fields | Algorithms Computational biology[1] |
Institutions | French Institute for Research in Computer Science and Automation (INRIA) Claude Bernard University Lyon 1 King's College London |
Thesis | Ressemblance lexicale et structurale entre macromolécules : formalisation et approches combinatoires (1996) |
Doctoral advisor | Maxime Crochemore[2] |
Website | lbbe |
Dr. Marie-France Sagot is Senior Researcher at the French Institute for Research in Computer Science and Automation (INRIA) and responsible for the INRIA European team ERABLE. She is also a member of staff at Claude Bernard University Lyon 1[2][3][4]. With a PhD and an Habilitation in Computer Science from the University of Marne-la-Vallée in France, she has recognized work on algorithms for computational biology[1] and gene prediction[5] and biological sequence analysis.[6] She has coordinated more than 4 national and 20 international projects since 1998, including an ERC AdG project (Sisyphe, panel PE6, 2010-2015), the Inria Associated Team Compasso and the OLISSIPO project[7] with Prof. Susana Vinga from INESC-ID/IST in Lisbon, Portugal. She also has supervised 31 Master students, 34 PhDs and 22 postdocs since 1999, and held a number of responsibilities over the years, including editorial work, international conference organisation, as well as national, european and international panel participations. She has been involved in teaching and teaching organisation, includingcreating and directingf the PhD Program on Computational Biology at the Instituto Gulbenkian de Ciência, Lisbon, Portugal, from 2004 to 2007. She was elected a Fellow of the International Society for Computational Biology (ISCB) in 2019 for "outstanding contributions to the fields of computational biology and bioinformatics".[8] Since 2002 she has been a visiting research fellow at King's College London.[4] Her main research interests concern computational biology, algorithm analysis and design, and combinatorics. As concerns computational biology, she is more specifically interested by comparative genomics, (co-)evolution, chromosomal dynamics, RNA structures, (co-)phylogeny, regulation, metabolic networks, NGS, and symbiosis (understood in its more general sense of close species interactions).
References
- 1 2 Marie-France Sagot publications indexed by Google Scholar
- 1 2 Marie-France Sagot at the Mathematics Genealogy Project
- ↑ Marie-France Sagot at DBLP Bibliography Server
- 1 2 Sagot, Marie-France (2011). "CURRICULUM VITÆ: Marie-France Sagot" (PDF). Archived from the original (PDF) on 2011-03-31.
- ↑ Mathe, Catherine; Sagot, Marie-France; Schiex, Thomas; Rouzé, Pierre (2002). "Survey and Summary: Current methods of gene prediction, their strengths and weaknesses". Nucleic Acids Research. 30 (19): 4103–4117. doi:10.1093/nar/gkf543. ISSN 1362-4962. PMC 140543. PMID 12364589.
- ↑ Sagot, Marie-France (1998). "Spelling approximate repeated or common motifs using a suffix tree". LATIN'98: Theoretical Informatics. Lecture Notes in Computer Science. Vol. 1380. pp. 374–390. doi:10.1007/BFb0054337. ISBN 978-3-540-64275-6. ISSN 0302-9743.
- ↑ "OLISSIPO – Fostering Computational Biology Research and Innovation in Lisbon". Retrieved 2024-01-12.
- ↑ "ISCB Fellows". www.iscb.org. Archived from the original on 2017-03-20. Retrieved 2019-04-11.