About

I’m a computer scientist with over a decade of experience using machine learning, artificial intelligence, data mining, distributed systems, and modeling to generate knowledge from data and tools to leverage it. I’ve loved using code and data to explore a large variety of fields pretty much since I ordered my first red hat distribution and started learning python after discovering an early version of this page during my teens: http://www.catb.org/esr/faqs/hacker-howto.html

Now I work with an amazing group of data scientists, platform architects, and software engineers at Miner & Kasch, where we solve data science and artificial intelligence challenges with businesses across the world ranging from start-ups to fortune 20 companies.

I received my Ph.D. (Dec 2012) and M.S. (2010) in Computer Science in the Artificial Intelligence group at the University of Maryland (UMD), advised by Dana Nau and Michele Gelfand. I launched my path of applying data science to interdisciplinary work during under Bill Manaris during my B.S. in Data Science at the College of Charleston (2007).

I grew up in Bavaria, Germany and became a US citizen after having lived in the US for over a decade.