KIOYE Togo Jean Yves

KIOYE Togo Jean Yves

PhD student

Clermont Auvergne University

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. The research is conducted within the framework of the HOLOFLUX metaprogram.

Interests
  • Statistical learning
  • Dimension reduction methods
  • penalization methods
  • Sparse inference
  • Big data
Education
  • 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

R
Database
SAS
python
ETL
Matlab

Experience

 
 
 
 
 
PhD student in biostatistics
December 2022 – Present IUT Aurillac (France)

Responsibilities include:

  • Research on variable selection methods
  • Data analysis
  • Teachings (starting in September 2023)
 
 
 
 
 
Master 2 Internship in anomaly detection
April 2022 – September 2022 Troyes (France)
Research on a Random Matrix-Based Approach for Data Reduction and Sensor Selection with Application to Degradation Index Construction.
 
 
 
 
 
Master 1 internship in Applied Statistics
April 2022 – June 2022 Caen (France)
Research on a new alpha-skew hyperbolic secant distribution with applications to an astronomical dataset.

Publications

Quickly discover relevant content by filtering publications.
(2021). THE ALPHA-SKEW HYPERBOLIC SECANT DISTRIBUTION WITH APPLICATIONS TO AN ASTRONOMICAL DATASET. Journal of Quantitative Sciences.

PDF Cite Code Slides Source Document

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Teaching

factorial methods
BUT 2 in data science
Regression models
BUT 2 in data science
Times series
BUT 2 in data science

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