PhD student

L’Ecole normale supérieure - PSL

manon.romain [at]

Short bio

  • Diplôme de l’Ecole polytechnique
  • MSc of Computational and Mathematical Engineering – Stanford University

Thesis title

Study of causal networks.

Short abstract

Causal inference is very important to a wide range of use from clinical trials to econometrics: we learned that “correlation is not causation” but how can we learn true causal relationships? We will using learning of causal diagrams using the latest advances in optimization. We will also study experimental design, given your current knowledge, how to best use your limited resources to gain insightful causal information (e.g., by doing biological experimentations)?