Ph.D. in Mathematical Statistics, University of Maryland. Two decades across industry, research, and academia.
Now — on sabbatical, working on independent data projects and teaching math.
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I build statistical and machine-learning models that find patterns and forecast what comes next. Over two decades across industry, research, and academia — most recently at Google and as Regional Head of Data Science for Latin America at Argus Media — I’ve shipped R and Python data products, taught computational statistics, and published award-winning applied economics.
Awarded by Brazil’s National Confederation of Industry (CNI), with the Brazilian association of graduate economics programs (ANPEC), for the first Brazilian study to use a continuous-treatment (dose-response) method to evaluate innovation incentives — finding no crowding-out of private R&D.
About the award ↗Profiled by the Oak Ridge Institute for Science and Education (ORISE) for summer-2019 research at Pacific Northwest National Laboratory — applying machine learning to alloy micrographs for the DOE’s Fossil Energy XMAT project.
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