Sally Paganin

Sally Paganin

Research Fellow

Harvard T.H. Chan
School of Public Health

spaganin@hsph.harvard.edu

I am currently a Research Fellow in the Department of Biostatistics at Harvard T.H. Chan School of Public Health, working with Jeff Miller on statistical methods for early cancer detection.

Previously, I was a Postdoctoral researcher at UC Berkeley, where I worked with Perry de Valpine & Chris Paciorek on computational methods for Bayesian hierarchical models.
I am also part of the core team maintaining NIMBLE, a flexible R-based software for Bayesian hierarchial models (and more!).

Here you can find some info about me, my research, and my CV.

Some news

All news»

[25/01/2022] New paper on JOSS with some of the NIMBLE devs, compareMCMCs: An R package for studying MCMC efficiency [link]. The package is available on github, we’ll get it on CRAN soon!

[20/06/2021] I have started serving as an Associate Editor for the Software section of The New England Journal of Statistics in Data Science (NEJSDS), the new official journal of the New England Statistical Society (NESS).

[11/03/2021] I am starting a new position as a Research Fellow at Harvard School of Public Health, working with Jeff Miller on statistical methods for early cancer detection.

[28/01/2021] New paper using NIMBLE for IRT models, Computational methods for Bayesian semiparametric Item Response Theory models, out on arXiv.

[18/01/2021] Our paper Centered Partition Processes: Informative Priors for Clustering has been accepted for publication as a Discussion paper. Contributions for the Discussion can be submitted until February 23th, 2021!