David Gleich
David Gleich

David is an Assistant Professor of Computer Science at Purdue University, and is interested in how we can utilize matrix algebra to express -- and improve -- algorithms in network analysis and data-based simulation analysis. David’s research straddles a few different areas and often involves working with large datasets on high performance computing architectures like MPI clusters, and data computing architectures, such as MapReduce.

Twitter : @dgleich