Biography
Togo Jean Yves KIOYE is a PhD student in biostatistics at Unité Mixte de recherche sur le Fromage Laboratory of Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE). He has the opportunity to be supervised by Paul-Marie GROLLEMUND, Jocelyn CHAUVET and Christophe CHASSARD. Jean Yves holds a Master’s degree in Applied Statistics and Decision Analysis from the University of Caen Normandy and is pursuing a PhD in applied mathematics on the study of microbial communities involved in the milk production process.
His research aims to develop methods for selecting variables in a Poisson Log-Normal (PLN) model to improve the understanding of agricultural practices and environmental factors that may explain what underlies milk quality.
- Statistical learning
- Dimension reduction methods
- penalization methods
- Sparse inference
- Big data
PhD in Biostatistics, 2022
Clermont Auvergne University
Master's in Applied Statistics and Decision Analysis, 2022
University of Caen Normandy
BSc in mathematics and computer science applied to human and social sciences, 2020
University of Caen Normandy
Skills
Experience
Responsibilities include:
- Research on variable selection methods
- Data analysis
- Teachings
Conferences and events
Publications
Teaching
Contact
- togo(underscore)jean(underscore)yves(dot)kioye(at)uca.fr/kioyejeanyves(at)gmail(dot)com
- 100 rue de l'égalité, Aurillac, Auvergne-Rhône-Alpes 15000
- Departement of data science and cybersecurity, Phd student office
- Monday-Friday 08:30 to 18:30