The torrent of data from devices, factories, and data centers poses unique challenges to data scientists and engineers. Fortunately, we have new tools for collecting, storing, and analyzing it all. Distributed computing platforms find underlying patterns, hidden anomalies, and powerful correlations at massive scale. In this track, we look at how to harness the flood of information from the Internet of Things.
David Andrzejewski is Lead Data Sciences Engineer at Sumo Logic, which he joined in 2011 after a postdoctoral research position working on knowledge discovery at Lawrence Livermore National Laboratory (LLNL). He is interested in developing tools that combine the power of machine learning with human insights, and has published work applying these ideas to problems in biomedical text mining, information retrieval and software behavior. David completed his PhD in Computer Sciences at the University of Wisconsin-Madison in 2010, where he had also previously received an M.S. in Computer Sciences and a B.S. in Computer Engineering, Mathematics and Computer Sciences.
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