Team
The Team in 2021
- Marie-Dominique Devignes (CNRS researcher ; Team Leader since September 2019) — complex network analysis; biological data mining; knowledge discovery in biological databases. marie-dominique.devignes AT loria.fr | +33 3 83 59 20 65
- Malika Smail-Tabbone (MC, HDR, Université de Lorraine) — Data integration and analysis; knowledge discovery from biomedical data; graph and relational data mining. malika.smail AT loria.fr
- Bernard Maigret (Emeritus CNRS researcher) — molecular dynamics simulation; virtual drug screening. bernard.maigret AT loria.fr
- Sabeur Aridhi (MC, TELECOM Nancy) — big data; artificial intelligence; cloud computing; bioinformatics. sabeur.aridhi AT loria.fr
- Isaure Chauvot de Beauchêne (CNRS researcher) — modeling proteins and their complexes, especially with nucleic acids. isaure.chauvot-de-beauchene AT loria.fr
- Dominique Mias-Lucquin (Post-Doc Fellow) — Modelling ICE St3 relaxase-ssDNA interactions
dominique.mias-lucquin AT loria.fr
- Camille Besançon (Post-Doc Fellow) — Modelling long non coding RNA (ANRIL) interaction with regulatory proteins
camille.besancon AT loria.fr
- Kamrul Islam (PhD student) — Distributed link prediction in large complex graphs: application to biomolecule interactions
kamrul.islam AT loria.fr
- Diego Amaya Ramirez (PhD student) — 3D-modeling of HLA antigens – Structure-based study of donor-receptor compatibility
diego.amaya-ramirez AT inria.fr
- Anna Kravchenko (PhD student) — Improving methods to dock RNA with proteins
anna.kravchenko AT loria.fr
- Hrishikesh Dhondge (PhD student) — Data analysis on RNA recognition motifs (RRMs)
hrishikesh.dhondge AT loria.fr
- Kevin Dalleau (PhD student) — Extremely randomized trees for similarity computation; graph clustering
kevin.dalleau AT loria.fr
- Antoine Moniot (PhD student) — Modeling protein / nucleic acid complexes by combinatorial structural fragment assembly
antoine.moniot AT loria.fr
- Athénaïs Vaginay (PhD student) — Model Construction and Analysis of Biological Networks: Application to Perturbed Networks in Diseases
athenais.vaginay AT loria.fr
- Louane Sigrist (Engineer Bioinformatics) – HLA-3D-Diff project
louane.sigrist AT loria.fr
- Amal Stiti (M2 student, University of Tunis) – Distributed graph computing for protein function annotation
amal.stiti AT loria.fr
- Isabelle Herlich (Inria Team Assistant)
isabelle.herlich AT inria.fr | +33 3 83 59 20 72
- Antoinette Courrier (CNRS Team Assistant)
antoinette.courrier AT loria.fr | +33 3 83 59 20 09
- Annick Jacquot (CNRS Team Assistant)
annick.jacquot AT loria.fr | 73016 (internal)
Former Team Members
- Amina Ahmed Nacer (Post-Doc, Région Lorraine-CHRU de Nancy) – GraphScore project.
- Bishnu Sarker (PhD student) — Developing distributed graph-based approaches for large-scale protein function annotation and knowledge discovery. Thesis defended on April 24, 2021.
- Wissem Inoubli (PhD student, Tunis University) — Graph mining of distributed and dynamic graphs. Thesis defended on January 7, 2021.
- Karina Mayumi Sakita (PhD student, State University of Maringá) – Virtual screening for identifying inhibitors.
- Emmanuel Bresso (Research Engineer) — Fight Heart Failure ANR project
- Philippe Noel (Bioinformatics Master-2 Inria Apprentice) — Design of Inhibitors of the Transfer of Antimicrobial Resistance – (LUE project « CITRAM »)
- Maria Elisa Ruiz-Echartea (PhD student) — multi-component protein assembly. Thesis defended on December 18, 2019.
- Claire Lacomblez (Engineer) — Design and Development of a Database System to Study the Effects of Epleronone on Heart Failure and Obesity (ANR project « FIGHT-HF »)
- Dave Ritchie (Inria researcher; Capsid team founder) — protein docking; protein interactions; protein structure alignment
Dave Ritchie passed away on September, 15, 2019 (Obituary)
- Gabin Personeni (PhD student) — exploration of linked open data in view of knowledge discovery
- Seyed Ziaeddin Alborzi (PhD student) — automatic protein domain function annotation
- Antoine Chemardin (Development Engineer) — Galaxy structural bioinformatics platform
