Cedric Beaulac

PhD, Statistical Theory and Applications


Fields of Study

Areas of Interest

  • Machine learning
  • Probabilistic graphical models
  • Procedural content generation
  • Interpretable models


I am currently a PhD candidate in statistical sciences at the University of Toronto under the supervision of Jeffrey S. Rosenthal. I am also a graduate student affiliate at the Vector Institute. I have been exploring many statistical learning algorithms during the last few years. More recently, I am focusing my work on probabilistic graphical models and variational autoencoders (VAEs). I have a strong research interest towards explainable AI and model interpretability. I am also interested in video game applications such as procedural content generation.