Contact
- lucile.megret@sorbonne-universite.fr
- Cassan B 617, 7 quai Saint Bernard 75005 Paris
Researches and teaching activities
I am Associate Professor (maîtresse de conférences) in Sorbonne Université in the
BrainC team of
The Center for Neuroscience Sorbonne University
NeuroSU.
Part of our results are available on the
Biogemix platform.
Research interest
My work focus on the mechanisms of brain resilience in neurodegenerative diseases.
That is, the brain's ability to remain in a state of cellular adaptation and compensation to maintain its functions,
without switching to mal-adaptive cellular responses and become symptomatic.
In order to understand these mechanisms, I analyze large omics datasets using machine learning methods and mathematical modeling.
Teaching activity
I teach in Biomath division of UFR 927. My teachings cover statistics, deterministic modeling and programming.
Ph.D thesis
My Ph.D, supervised by
Jean-Pierre Françoise and
Frédérique Clément, is entitled
Limits cycles explosions, qualitative analysis, numerical simulations and models.
This work focused on the analysis of novel explosions of limit cycles (periodic orbits), which arise in the modeling of oscillations in biology.
Selected/Invited talks at international conferences
- L. Mégret, Use of shape analysis concepts in machine learning to precisely analyze complex omics data, NSERM-JSPS Workshop,
AI and big data approaches in precision medicine and health science, Yamaguchi University, December 2022, Japan.
- L. Mégret, Precision machine-learning identifies a new paradigm for therapeutic discovery in Huntington's disease:
remodeling stress response to re-instate neuronal health and resilience, The 21st International Conference on Systems Biology (ICSB 2022), October 2022,
Berlin Germany.
- L. Mégret, Precise machine learning suggest that brain cells facing a neurodegenerative insult are the subject of molecular
decompensation and aging, 2nd Euro-Geroscience Conference, March 2022, Toulouse France.
- L. Mégret, Precise machine learning suggest that brain cells facing a neurodegenerative
insult are the subject of molecular decompensation and aging, Groningen-Jena Aging Meeting (G-JAM), October 2021, remote.
- L. Mégret, miRAMINT: modelling RNA-seq time-series data through variable selection and surface matching narrows the
implication of miRNAs in the brain of Huntington's disease knock-in mice,EMBO Workshop, Network inference in biology and disease,
June 2019, Naples, Italy.
Communication en direction du publique
Version française