I am an engineer in applied mathematics, and PhD in biostatistics, currently working within the SOPHIA European consortium (IMI public-private partnership) at the Lille Hospital, to tackle the issues of obesity and type 2 diabetes.

I help answer public health questions and clinicians’ issues using machine learning, statistics and expert inputs. I am particularly fond of prediction models to forecast patients’ outcomes from large datasets, causal inference to estimate the impact of features for decision-making from observational data, and expert systems to model complex processes.

Coding and calculus are actually small parts of my work; most of my energy goes to understanding clinicians needs, and communicate to experts about my methods and results. I am determined to carry out my projects to testing and operational phase.

Download my resumé.

  • Machine Learning for prediction
  • Testing metrics for prediction models
  • AI for health
  • Causal inference & causality methods
  • Data valuation
  • Strategic thinking
  • PhD in Biostatistics, 2020

    Collaboration Lille University, INSERM and Sanofi

  • Diplôme d'ingénieur - Applied Mathematics, 2015

    ENSIMAG - Institut polytechnique de Grenoble

  • Bioinformatic & Data mining, 2015

    KAIST - Korean Advanced Institute of Science and Technology