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. 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.

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
 
 
 
 
 
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.

Journal articles and conference papers

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(2025). Sparse Poisson Log Normal Model for Zero-Inflated Multivariate Count Data. Submitted paper.

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(2024). Sparse inference in poisson log-normal model by approximating the L0-norm. Journal of Multivariate Analysis.

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(2021). THE ALPHA-SKEW HYPERBOLIC SECANT DISTRIBUTION WITH APPLICATIONS TO AN ASTRONOMICAL DATASET. Journal of Quantitative Sciences.

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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

Contact