GEML
GEnetics Machine Learning
Learn more about our research

About

What about the GEML Research team?

Our research expertise

Statistical genetics

Omics studies

Pharmacogenomics

Complex diseases

Machine learning

Data recycling

The GEML Team

...

Marie Verbanck

Assistant Professor - Team leader

...

Asma Nouira

Postdoctoral Fellow

...

Martin Tournaire

PhD student

...

Treudsky Antoine

Graduate student

Our research projects

Leading research that is inherently multidisciplinary and diverse, at the crossroads between statistics and genomics, I have developed several statistical methodologies and lead several studies in human genetics. Throughout my collaborations and experience, I have developed expertise in the genetics of the metabolic syndrome with a long term ambition to take part into the rising era of personalized medicine.

...
Omics analysis
...
Mendelian randomization
...
Pleiotropy
...
Pharmacogenetics
...
Clustering
...
Deep learning

Our publications

Research Publications with leadership effort from members in the GEML team.

...
...
...
...

Contact us

Marie Verbanck
Biostatistique, Traitement et Modélisation des données biologiques
UR 7537 – BioSTM
Faculté de Pharmacie de Paris - Université Paris Cité

4 avenue de l’Observatoire
75006 Paris, France

Email: marie.verbanck[at]u-paris.fr