Short CV

A more complete PDF version of my CV can be provided on demand.

Education

• Ph.D. in Statistics, University of Toronto, 2022
  Thesis: Statistical inference for tail dependence structures
• M.Sc. in Statistics, Université de Montréal, 2017
  Thesis: Convergence d'un algorithme de type Metropolis pour une distribution cible bimodale
• B.Sc. in Mathematics, Université de Montréal, 2015

Grants, scholarships and awards

• Discovery Grant
  Awarded by Natural Sciences and Engineering Research Council (NSERC) of Canada, 04/2024-03/2029
  Value: 162,500$
• Postdoctoral Fellowship
  Awarded by Natural Sciences and Engineering Research Council (NSERC) of Canada, 09/2022-08/2024
  Value: 90,000$
• Doctoral Award
  Awarded by Department of Statistical Sciences, University of Toronto, 05/2022
  Value: 3,000$
• Arts & Science Doctoral Excellence Scholarship
  Awarded by University of Toronto, 06/2021
  Value: 5,000$
• Postgraduate Scholarship - Doctoral (declined)
  Awarded by Natural Sciences and Engineering Research Council of Canada, 09/2019-08/2020
  Value: 42,000$
• Probability Section Student Research Presentation Award
  Awarded by Statistical Society of Canada, 06/2018
  Value: 500$
• Ontario Graduate Scholarship (awarded 4 times, for 1 year each)
  Awarded by University of Toronto and Government of Ontario, 09/2017-08/2021
  Value: 15,000$/year
• Doctoral Scholarship
  Awarded by Fonds de Recherche du Québec - Nature et Technologies, 09/2017-08/2020
  Value: 60,000$

Supervision

Master's students

• Galiane Charbonneau
  Thesis: Extremal latent tree models (tentative title)
• James Cuin (Imperial College London, cosupervision with Yanbo Tang)
  Thesis: Change Point Detection for Extremal Graphical Models (2024)

Undergraduate students

• Galiane Charbonneau
  Project: Extremal latent tree models
• Alexander Ryabchenko (University of Toronto, cosupervision with Stanislav Volgushev)
  Project: Adaptive learning of extremal graphical models

Teaching

At UQAM

• Computational statistics
• Scientific communication in Statistics
• Stochastic processes

At other universities

• Probability with Computer Applications (Undergraduate course)
  University of Toronto, Summer 2019
• Bayesian Decision Theory (Undergraduate/Graduate cross-listed course)
  Université de Montréal, Spring 2017

As a teaching assistant

• Various undergraduate and graduate courses, ranging from statistical consulting to measure theoretic probability
  Université de Montréal, Spring 2015 - Fall 2016
  University of Toronto, Fall 2018 - Spring 2022

Service

• I am the organizer of the STATQAM Statistics research seminar.
• I have served as a reviewer for the Journal of Computational and Graphical Statistics, Extremes, the Journal of the Royal Statistical Society: Series B, the Scandinavian Journal of Statistics, Biometrika, the Electronic Journal of Statistics, Bernoulli and the Canadian Journal of Statistics.
• I was an evaluator for the European Laboratory for Learning and Intelligent Systems PhD program.
• I chaired the organizing committee for the 2019 edition of the Statistics Graduate Student Research Day, at the Fields Institute. Responsibilities included inviting speakers, securing space and funding, managing most of the local arrangements, supervising and animating the event.
• I was an executive member of my graduate student union at the Université de Montréal in 2016-2017 and at the University of Toronto in 2018-2019 (as president).