Assistant Professor of Statistical Science, Duke University
affiliated faculty in Computer Science
affiliated faculty in information initiative at Duke
affiliated faculty in Social Science Research Insitute

I am an Assistant Professor of Statistical Science at Duke University. Previously, I was a Visiting Assistant Professor in the Department of Statistics at Carnegie Mellon University from 2012 -- 2015, working with Stephen E. Fienberg. My PhD is from the University of Florida under the supervision under the supervision of Malay Ghosh.  My research interests are in computationally scalable approaches to social science applications, where I focus on recovering high dimensional objects from degraded data and determining how to recover the underlying structure. Methods used for this are entity resolution, small area estimation, locality sensitive hashing, and privacy-preserving record linkage as applied to medical studies, fmri studies, human rights violations, and estimation of poverty rates in hard to reach domains.

Research interests: entity resolution (record linkage), clustering, Bayesian methodology and applications, machine learning, locality sensitive hashing, privacy-preserving record linkage, decision theory, survey methodology, small area estimation, and Markov chain Monte Carlo methods.

If you are a student interested in working with my research group, please set up a time to meet with me via email (and also first take a look at my research page and current projects that we are working on).

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Contact Information

Department of Statistical Science
Duke University
Durham, NC
email: beka AT stat DOT duke

"Sometimes it is the people no one can imagine anything of who do the things no one can imagine."

-- Alan Turing