Harvard Catalyst Profiles

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Jeffrey Miller, Ph.D.

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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.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.