Skip to main content
Make Data Work
Oct 15–17, 2014 • New York, NY

Office Hour with Andy Terrel (Continuum Analytics)

Andy Terrel (NumFOCUS)
10:30am–11:00am Thursday, 10/16/2014
Office Hour
Location: Table E

Andy leads the Blaze team taking the Python data stack to the next generation of scalable tools, so he’s a great person to ask about:

  • Python programming language
  • High Performance Python
  • Parallel computing
Photo of Andy Terrel

Andy Terrel


Andy is a computational scientist with experience implementing distributed, large data applications. Currently serveing as the Chief Science Officer at Continuum Analytics, he leads the Blaze team taking the Python data stack to the next generation of scalable tools. Andy also works with numerous data scientists in academia and industry helping architect systems for interacting with large data resources. 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 also has also worked with big data financial applications during a brief tenure with Enthought, Inc.

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.