About

We are a biostatistics research lab at the University of North Carolina Chapel Hill dedicated to the development of new algorithms and statistical methodology for data-driven decision making and their application across a wide variety of human health domains. Major research areas within the lab include:

• Precision Medicine
• Causal Inference
• Artificial Intelligence
• Data Science
• Deep Learning
• Empirical Process Theory
• Nonparametric and Semiparametric Statistics

With the guiding principle of producing statistical methods and strategies for advancing human health, members of this lab work on a wide spectrum of projects, from analyzing ways to tailor treatment strategies to heterogeneous populations to using deep learning to detect patterns in ECG signals. We believe in the importance of adhering to fundamental principles in data science such as reproducibility and transparency. Members include students, post-doctoral fellows, and faculty from a broad set of departments and schools within UNC including the Biostatistics, Statistics and Operations Research, Epidemiology, Information Sciences, the UNC School of Medicine, the UNC Eschelman School of Pharmacy, and the UNC Gilling School of Global Public Health.

Individuals interested in joining the lab should contact Dr. Michael Kosorok at kosorok@bios.unc.edu.