Mark’s a physicist by training and programmer by trade.
He’s architected data-driven solutions, on both bare metal and clouds, across a variety of industries including Energy, Education, and Commercial Modeling and Simulation.
Mark has a doctorate in Mathematical Physics from UT Austin for research simulating quantum algorithms. He is interested in what it takes to train data scientists and is working to add “data science” tracks to various degree programs at Stanford and Utah State University.
Mark’s passion is Data Plumbing, where Data Science meets the real world of DevOps and Infrastructure Engineering. He is excited to put that passion to use as a data scientist for Infochimps.
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