Vincent Quenneville-Bélair, PhD

Machine Learning Scientist

Machine Learning Engineer

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

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

Machine Learning Scientist

• 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.

Chu Assistant Professor of Applied Mathematics

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