Eymard Houdeville is a machine learning engineer and a philosopher. His research work, at IDEMIA currently concerns neural networks architectures for computer vision applications. Eymard is especially interested in philosophy of sciences and epistemology of data sciences: what's the role of simplicity in experiments where we manipulate gigabits of data? Eymard wrote his master thesis at Ecole Normale Supérieure in Paris in 2018 about the irreproducibility crisis in modern sciences: how can we explain the fact that sciences is full of spurious and fallacious correlations? Worried about social consequences of these new ways to act and think, Eymard has started several vulgarization works and notably realized a tour of european hackerspaces in 2016. Eymard also holds a degree in politicial science of Sciences Po Paris and a bachelor in applied mathematics of Sorbonne University.