Maria De Yoreo
RAND Corporation
About Me

Thank you for visiting my webpage. I am currently an Associate Statistician at The RAND Corporation in Santa Monica, California.

I was previously a postdoctoral researcher in Statistical Science at Duke University, working with Jerry Reiter on developing flexible multivariate imputation methods in order to fill in missing values in heterogeneous data, often arising from large-scale surveys. Another direction of research involves developing methodology for combining data from multiple sources to perform data fusion and make inference about relationships between variables not measured simultaneously, or to create integrated (synthetic or partially synthetic) datasets that use information from multiple databases.

I completed my PhD in the summer of 2014 in the Applied Math and Statistics department at the University of California, Santa Cruz. My dissertation research under the supervision of Athanasios Kottas focused on developing Bayesian nonparametric modeling techniques for ordinal regression, which was further developed to handle ordinal regression relationships which evolve in discrete-time. The methodology is particularly well-suited to applications in ecology and population dynamics. I received the 2016 Savage Award in Applied Methodology for my dissertation work.

Prior to beginning graduate school at UCSC, I obtained my B.S. in mathematical sciences from UC Santa Barbara in 2009.


I can be reached by email at mdeyoreo [at] gmail [dot] com