Vincent Quenneville-Bélair

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.

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.