Glen Beane, M.S.

Principal Scientific Software Engineer

High Performance Computing, automated analysis pipelines.

I am a software engineer with a background in High Performance Computing. I have developed parallel software (both multi-threaded and distributed with MPI) in a variety of languages including C, C++, and Python. In addition to HPC projects, I have developed a variety of analysis and data management tools in Python (both web applications and command line).  I have also helped design and am currently the primary maintainer of the Civet pipeline framework, which drives analysis pipelines used for the JAX Cancer Treatment Profile and PDX.

Research Applications and Tools

Glen is associated with the following research applications and tools: