Vincent Quenneville-Bélair

Applied Mathematician


Machine Learning Scientist

Facebook AI
  • Develop the deep learning torchaudio library for audio and speech. Lead research collaborations between academia and the PyTorch open source community. Enhance PyTorch optimizers by identifying and integrating the latest algorithms.

2019 - Present

Machine Learning Scientist

  • Generate long-term stragegic inventory capacity forecast. Model counterfactual scenarios. Optimize supply chain expansion recommendations.

  • Build causal impact models to estimate advertising campaign lift. Infer future returns and optimize advertising portfolio.

  • Teach internal machine learning specialization course series on matrix factorization, dimensionality reduction, and recommender systems.

2017 - 2019

Chu Assistant Professor of Applied Mathematics

Columbia University
  • Model gravitational wave propagation to understand black hole collisions. Create and analyze novel specialized mixed finite element methods to simulate these models numerically.

2015 - 2017

Chief Data Scientist

  • Develop web-based software to automatically extract information from structured and unstructured data on the fly. Process the information to programatically generate relevant visualizations and intelligent insights.

2016 - 2017


PhD Applied Mathematics

University of Minnesota
  • NSERC Alexander Graham Bell Canada Graduate Scholarship
  • University of Minnesota Doctoral Dissertation Fellowship
  • Mentored over 20 teams for international Mathematical Contest in Modeling

MCS Computer Science

University of Minnesota

MSc Applied Mathematics

University of Minnesota
  • FQRNT Research Scholarship

BSc Mathematics and Physics

McGill University
  • Twice meritorious winner in international Mathematical Contest in Modeling
  • First class honors


Python, PyTorch, Scikit-Learn, SQL, Spark, Linux.


  • Arches

  • Grand Teton

  • Mount Mansfield

  • Boundary Waters