Justin Chumbley, Ph.D

I am a statistician, a scientist and a developer with broad experience analyzing human behavior and biology.

I develop experiments and the statistical/data-science tools to analyze them. I help my collaborators understand and solve interdisciplinary problems involving predictive and causal inference.

For example, check out my current work coupling RNA expression to DNA transciption motifs, with accompanying R package. Or current work on Bayesian parameter ranking and its application to life course epidemiology: the latest example analyses are maintained on github or pull the docker image.

Some more mature neuroimaging methods are incorporated in Statistical Parametric Mapping. For some representative work on multiple comparisons see, e.g. 1 , 2 . For some Bayesian approaches to classification, spatio-temporal data and computational neuroscience, see e.g. 3 , 4 , 5 , 6 , 7 .

If you need statistical guidance, I may be able to help.