Vincent Quenneville-Bélair, PhD

Design deep learning models to forecast product demand for supply chain optimization.

Lead model implementations from research to production across supply chain.

Steer the open source community to develop PyTorch torchaudio and optimization libraries.

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

Generate long-term strategic 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.