Andy R Terrel

PeerJ Author

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

Editing Journals

Work details

Chief Scientist

Continuum Analytics

Websites

Google Scholar

January 2, 2017

SymPy: symbolic computing in Python

Aaron Meurer, Christopher P. Smith, Mateusz Paprocki, Ondřej Čertík, Sergey B. Kirpichev, Matthew Rocklin, AMiT Kumar, Sergiu Ivanov, Jason K. Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E. Granger, Richard P. Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J. Curry, Andy R. Terrel, Štěpán Roučka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony Scopatz

https://doi.org/10.7717/peerj-cs.103

June 16, 2016 - Version: 3

SymPy: Symbolic computing in Python

Aaron Meurer, Christopher P Smith, Mateusz Paprocki, Ondřej Čertík, Sergey B Kirpichev, Matthew Rocklin, AMiT Kumar, Sergiu Ivanov, Jason K Moore, Sartaj Singh, Thilina Rathnayake, Sean Vig, Brian E Granger, Richard P Muller, Francesco Bonazzi, Harsh Gupta, Shivam Vats, Fredrik Johansson, Fabian Pedregosa, Matthew J Curry, Andy R Terrel, Štěpán Roučka, Ashutosh Saboo, Isuru Fernando, Sumith Kulal, Robert Cimrman, Anthony Scopatz

https://doi.org/10.7287/peerj.preprints.2083v3