Expand the open source deep learning framework PyTorch through internal and external research collaborations.
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.
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.
Python, PyTorch, Scikit-Learn, SQL, Spark, Linux.