KIOYE Togo Jean Yves

KIOYE Togo Jean Yves

Part-time lecturer (enseignant vacataire) in Statistics

Clermont Auvergne University

Biography

I am currently a part-time lecturer (enseignant vacataire) in Statistics within the Bachelor of Technology (BUT) in Data Science at IUT Aurillac (Clermont Auvergne University). My research interests include multivariate count data modeling, variable selection, latent and deep latent variable models, and the application of statistical methodologies to the life sciences, including agriculture, environmental science, human health, and related fields.

I obtained my PhD in biostatistics at Unité Mixte de recherche sur le Fromage under the supervision of Paul-Marie GROLLEMUND, Jocelyn CHAUVET and Christophe CHASSARD. During my PhD, I developed a statistical method for selecting variables in a multivariate Poisson Log-Normal (PLN) model, with application to the study of microbial communities involved in the milk production process.

Feel free to contact me by email for further information about my research or to discuss potential collaborations.

Interests
  • Statistical learning
  • Dimension reduction methods
  • penalization methods
  • Sparse inference
  • Big data
Education
  • PhD in Biostatistics, 2025

    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 – December 2025 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