Denver Dash is a Research Scientist at the Intel Science and Technology Center on Embedded Computing (ISTC-EC) located at Carnegie Mellon University. Denver has been at Intel since 2003 when he was hired by Gary Bradski as a research scientist and technical director of Intel’s Open Probabilistic Network Library (OpenPNL) in Santa Clara, CA. In 2006 he moved to the Intel Research Lablet at Carnegie Mellon, and in 2012 he was a founding member of the ISTC-EC. In general, his research interests lie in the intersection of machine learning, probabilistic graphical models, causality and first-order logic. While at Intel he has applied these tools to learning for silicon manufacturing, disease outbreak detection, distributed detection and inference of network intrusions, multimodal perception and causal perception. In 2012 he was on the Senior Program Committee or the Conference on Uncertainty in Artificial Intelligence (UAI) and he frequently sits on the program committees of most of the top conferences in artificial intelligence and machine learning. For a full list of publications, see http://www.pittsburgh.intel-research.net/~dhdash/pubs/pubs.html.