Vincent Quenneville-Bélair

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.

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.

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