Machine Learning and High Dimensional Data

Machine learning focuses on the creation, characterization and development of algorithms that, when applied to data, allow us to understand their structure, make predictions and construct counterfactual analyses. This area of research is fundamental to applied statistics and data science and drives many of their recent advancements. Our faculty actively research methodological and computational approaches to machine learning, especially in high-dimensional data and data-intensive computing, to create new tools for scientific discovery. We are particularly interested in applications of these tools to genetics, clinical trials, neuroimaging and other areas of biomedicine and we regularly collaborate with researchers in those fields.