Statistics

The Department of Statistics conducts research at the forefront of both foundational and emerging areas in statistical science and data-driven discovery.

Our research powers innovation across medicine, public health, technology, policy, and beyond, shaping how data is collected, modeled, and translated into impact. We lead rigorous, cross-cutting research in theory and methods, supporting critical applications in clinical trials, public health, high-dimensional data, and artificial intelligence. Our work reflects the evolving demands of the data-rich world.

Our Focus Areas

Foundational

Our foundational research spans biostatistics and bioinformatics, clinical trials and experimental design, Bayesian inference, semiparametric and nonparametric methods, spatial and functional data analysis, measurement error, statistical pedagogy, geometric and topological data analysis, and high-dimensional and big data analytics.

Emerging

We also lead pioneering work in emerging areas such as crowdsourcing and modern survey methods, natural language processing (NLP), EHR-based analytics, machine learning, atificial intelligence (AI), statistical computing and visualization, data privacy and regulation, feature selection, and causal inference in complex data environments.