Alice Doucet Beaupré

Alice Doucet Beaupré

Postdoctoral Fellow

Poisot Lab, Université de Montréal

I am a Postdoctoral Fellow in the Poisot Lab. I work on the development of models and tools from theoretical and computational ecology to unsupervised machine learning. My most recent research efforts focus on the creation of generative models at the intersection of hierarchical models, stochastic process priors, and computational linguistics for the analysis of complex species communities.

I am also working on models and methods for the inference of species interactions in dynamical and species distribution models, and on the characterization of the diversification and tempo of evolution of microbial communities using novel phenomenological stochastic models developed in collaboration with James O’Dwyer.

  • Computational ecology
  • Unsupervised machine learning
  • Species interactions
  • Diversification
  • Microbial ecology
  • Postdoctoral Fellow in Ecology and Machine Learning, 2022-ongoing

    Université de Montréal

  • PhD in Ecology, Evolution, Conservation Biology, 2021

    University of Illinois at Urbana-Champaign

  • MSc in Theoretical Physics, 2009

    ETH Zürich

  • BSc in Physics, 2006

    Université de Sherbrooke