Andy Terrel

Andy Terrel is a technical executive with multiple startup experiences implementing distributed, large data applications. In his previous academic research, he is known for creating novel algorithms to speed implementations of mathematical models on the world's largest supercomputers.

Andy received his Computer Science PhD at the University of Chicago in 2010. He has held research positions at Argonne National Lab, Sandia National Lab, Institute of Computational Engineering and Sciences at The University of Texas-Austin, and the Texas Advanced Computing Center. In industry, Andy served as lead developer at Kove, Inc. during its early stages, where he helped bring a record breaking SAN disk array to market. Andy also has also worked with Enthought, Inc and was part of the founding team at Continuum Analytics.

Andy is a passionate advocate for open source scientific codes. To this end, he is a board member of the NumFOCUS foundation and has been involved in the wider scientific Python community since 2006. Andy has contributed to numerous projects in the scientific stack and hopes push for data to become a first class object for scientists worldwide.