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I am a data science engineer at Apple, formerly senior data scientist at Big Data Federation, Inc. Previously, I was graduate student in Economics / Statistics and affiliate of the Data Science Initiative at the University of California, Davis. My interests include the economics of open source software in enterprise, natural language processing, and machine learning.

I used to do Neuroscience research in the Kalueff lab at Tulane Unversity Medical Center, where I learned just how messy experimental data can be - even in double blind lab experiments. I first took on Economic research in the NSF backed TREU-AMPE program. That's where I learned the art of programming stats models. Since then I have done my own graduate research and also worked as a research assistant to Gregory Clark and Alan M. Taylor. My last year at Davis, I worked as an R.A. for Kim Shauman programming machine learning models and parsing text documents in python.

I am a New Orleans native and alumnus of Tulane University. For the best beignets and watery but somehow delicious coffee in the city, go to Morning Call in Metairie or City Park. For the best music and drinks go to Maison on Frenchman Street. To have the world's best char-grilled oysters, go to Acme Oyster House! For additional New Orleans recommendations, shoot me an email.