Andy R Terrel

Summary

Andy is a computational scientist with experience implementing distributed, large data applications. In his research, he worked on novel algorithms to speed mathematical models on supercomputers.

Andy received his Computer Science PhD at the University of Chicago in 2010. He has held positions at Argonne National Lab, Sandia National Lab, and The University of Texas-Austin. In industry, Andy has worked at Kove, Inc., Enthought, Inc, and Continuum Analytics.

Data Science Distributed & Parallel Computing Scientific Computing & Simulation