David Gleich is an Assistant Professor in the Department of Computer Science at Purdue University. His research is on high performance and large scale matrix computations for analyzing data from social networks and scientific simulations. He held the John von Neumann post-doctoral fellowship at Sandia National Laboratories in Livermore, CA before joining Purdue in Fall 2011. Since then, he received an NSF CAREER Award in 2011 for work on modern methods for computing functions of matrices such as the matrix exponential, a challenging social network analysis metric.
- Theoretical Foundations of Big Data Analysis, Fall 2013. Visiting Scientist.