Maria Masotti, PhD
- Research Assistant Professor, Biostatistics
Dr. Masotti develops statistical methods for data derived from medical imaging processes. This data presents unique challenges such as spatial and temporal autocorrelation and high dimensionality. Dr. Masotti collaborates with researchers in the Radiology Department on design and analysis of experiments. She is also a member of the Cancer Data Science Shared Resource which provides Rogel Cancer Center investigators assistance in all quantitative aspects of cancer research.
- PhD, University of Minnesota, 2022
- BA, Northwestern University, 2017
Spatial statistics, Bayesian inference, imaging data.
Bayesian spatial partitioning methods for prostate cancer lesion detection using non-invasive MRI data
Methods for multiplex imaging data
Areas of Expertise: Biostatistics