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I am a post-doctoral researcher at UCLA working with Prof. Marc Suchard on large-scale analytics of observational healthcare data. I completed my PhD in Applied Mathematics and Statistics at Duke University under the supervision of Prof. David Dunson, during which I received Laplace Award and Savage Award (2nd place) for my research.
I develop statistical methods and softwares to extract useful insights from complex large-scale data sets, coming from various real-world applications. Current applications include subgroup identification (or ‘precision medicine’) in the first-line treatments of hypertensions, discovery of mutations linked to virulence among HIV viruses, etc. My expertise includes Bayesian methods, Monte Carlo simulation, high-performance computing, numerical 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.