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As the Fall 2011 semester began, David F. Gleich joined the Computer Science faculty of Purdue University as an Assistant Professor.

His research interests are in large-scale matrix computations, numerical graph algorithms, and sparse matrix computations. Much of his thesis work was on Google's seminal PageRank algorithm.

Upon announcing this new faculty addition last January, Interim Department Head Sunil Prabhakar remarked, "Dr. Gleich is an outstanding young researcher and will make an excellent addition to our department. He adds to our existing strengths in High Performance Computing and brings exciting opportunities for collaboration with researchers in other areas including Machine Learning."

Gleich received his MS and PhD in computational and mathematical engineering from Stanford University in 2006 and 2009, respectively. He earned his BS in mathematics and computer science from Harvey Mudd College in 2004. Following his tenure as a Mudder and a Stanford Tree, he is looking forward to the opportunity to be a Boilermaker.

Before coming to Purdue, Dr. Gleich completed the prestigious John von Neumann Research Fellowship at Sandia National Laboratories, Livermore, CA. This postdoctoral fellowship provided an exceptional opportunity for innovative research in computational mathematics and scientific computing on advanced computing architectures with application to a broad range of science and engineering problems of national importance. As part of this fellowship, Gleich used the complete eigenvalue information associated with various real-world graphs to study their characteristics. These computations involve extremely large, dense eigenvalue problems on distributed clusters, including a few of the top-10 supercomputers.

Since coming to Purdue, Gleich has been teaching CS 59000-NMC Networks and Matrix computations, a graduate topics course on material connected with his research interest. He has also enjoyed the beautiful fall weather in West Lafayette.

More information on Dr. Gleich can be found at his website. He is also an avid Twitter user, @dgleich. In his "copious" free time, he also enjoys cooking, photography, and skiing.