Speaker: Andy Terrel
Andy is a computational scientist with experience implementing distributed, large data applications. In his 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 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 helps push for data to become a first class object for scientists worldwide.