I am an Assistant Professor at Johns Hopkins Biostatistics. I also serve as a Program-Chair of the j-ISBA section of International Society of Bayesian Analysis. I completed my PhD in Applied Mathematics and Statistics at Duke University, during which I received Laplace Award and Savage Award (2nd place) for my research.
I develop statistical methods and software to extract useful insights from complex large-scale data sets, arising from various real-world applications. Current applications include hierarchical analysis of an international network of healthcare databases (in collaboration with Observational Health Data Sciences and Informatics), identifying patient characteristics predictive of their disease progressions (in collaboration with Precision Medicine Initiative at Johns Hopkins), discovery of mutations linked to virulence among HIV viruses (in collaboration with BEAST Team), among others. My expertise includes Bayesian methods, Monte Carlo simulation, high-performance computing, computational mathematics, as well as open-source software development.
In my free time, I enjoy traveling, social dancing (especially Argentinian tango), culinary explorations, photography, playing tennis, running / hiking, among many other things.