Vincent Quenneville-Bélair

Applied Mathematician


Machine Learning Engineer

Facebook AI
  • Lead development of the open source PyTorch torchaudio library and optimization module.

  • Develop deep learning models and training pipelines for audio and speech recognition.

  • Build research collaborations between academia and the PyTorch open source community.

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