PhD Fellow

Université Paul Sabatier (Toulouse III)

Master of Science – MS, Epidemiology · (2013 – 2014)

Université Paul Sabatier (Toulouse III)

Master’s degree, Mathematics and Statistics · (2011 – 2013)

Université Paul Sabatier (Toulouse III)

Bachelor of Science – BS, Mathematics and Statistics · (2008 – 2011)

Bordeaux University

PhD Fellow

September 2016 – Present Bordeaux Area, France

Comparison of linear and non-linear machine learning approaches to predict Age-related Macular Disease (AMD) risk in a survival framework:

  • Imputation of missing values by developing specific models depending on the missingness pattern
  • Deep understanding of various ML models: Ridge, Lasso, Elastic Net, Random Forests, Gradient Boosting, Support Vector Machines, Neural Networks and Sparse Group Partial Least Squares
  • Application of these models to real datasets to predict AMD’s risk
    • Programming languages: R and python

Machine Learning Teaching Assistant

March 2017 – Present Bordeaux Area, France

  • Introduction to statistical learning
  • Fundamentals of probability theory


Principal Statistician

October 2014 – August 2016

Bordeaux Area, France

The international FRAILOMIC consortium:

Comparison of machine learning approaches to predict the risk of frailty in the elderly:

Generalized Linear Mixed Models and Illness-death models

  • Programming languages: R


Research Internship

February 2014 – August 2014 Toulouse Area, France

Master Research thesis:

Comparison of linear and non-linear machine learning approaches to predict breast cancer risk:

Penalized regression methods, Random Forest, Boosting.

  • Programming languages: R

Supervisors: Thomas Filleron and Eve Leconte


Internship in Biostatistics

April 2013 – August 2013 Toulouse Area, France

Comparison of unsupervised machine learning approaches in a prospective study in the French ESPOIR cohort of very early arthritides:

Constitution of a marker of faster joint destruction

  • Programming languages: R

Supervisors: Léonor Nogueira and Martin Cornillet


Internship in Biostatistics

November 2012 – February 2013 Toulouse Area, France

Applying Least Absolute Shrinkage and Selection Operator (Lasso) to better understand interactions within a network of genes.

  • Programming languages: R

Supervisors: Brigitte Mangin and Simon de Givry

I am a PhD student applying machine learning (ML) methods in the biomedical field. My aim is to help clinicians and epidemiologists make the right decisions by providing them powerful ML tools.

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