Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

You have full access to this article via your institution. When Rohit Bhattacharya began his PhD in computer science, his aim was to build a tool that could help physicians to identify people with ...

Google DeepMind has named Jasjeet "Jas" Sekhon its new Chief Strategy Officer on March 18. Sekhon is not a product executive or a Silicon Valley veteran. He is a statistician, one of the most ...

Setodji CM, McCaffrey DF, Burgette LF, Almirall D, Griffin BA. The right tool for the job: Choosing between covariate balancing and generalized boosted model propensity scores. Epidemiology. 2017.

The manufacturing landscape is evolving rapidly, with intelligent systems increasingly promising to boost efficiency, quality, and overall competitiveness. Traditional machine learning (ML) has ...