Cancer symposium looks at new diagnostics for early detection
A symposium brought together experts from around the world and across disciplines to discuss efforts to build better diagnostic tools for myriad cancers.
Primary Faculty
Jeffrey Miller
Other Positions
Co-Director, SM Biostatistics Programs
Biostatistics
Harvard T.H. Chan School of Public Health
Overview
I'm interested in using statistics to understand the molecular mechanisms of diseases of aging. My methodological research has focused on robustness to model misspecification, nonparametric Bayesian models, frequentist analysis of Bayesian methods, and efficient algorithms for inference in complex models.
Currently, I'm working on the following applications: (i) studying Alzheimer's disease using whole-genome sequences, and (ii) inferring cancer tumor phylogenetic trees (clonal evolution).
For more information, please visit my website at http://jwmi.github.io.
News