Matt is a Computer Systems Engineer that joined the group in November 2016. He has 14+ years of experience as a Software Engineer, building software solutions for the advancement of scientific research and discovery. His interests include AI, Machine Learning, Interactive HPC, Data Analytics, Graph Theory, Parallel Processing, Distributed Systems, Search, Visualization, Image Processing, Remote Sensing, UI, UX, all branches of Science and Engineering.
He has a BS in Computer Science from California Polytechnic University, Pomona with a minor in Mathematics. Prior to joining LBNL in 2012, he worked as a software engineer at NASA JPL.
Conference Papers
S. Farrell, A. Vose, O. Evans, M. Henderson, S. Cholia, W. Bhimji, R. Thomas, S.
Canon, and Prabhat,,
"Interactive Distributed Deep Learning with Jupyter Notebooks",
ISC Workshop on Interactive High-Performance Computing,
June 28, 2018,
GP Rodrigo, M Henderson, GH Weber, C Ophus, K Antypas, L Ramakrishnan,
"ScienceSearch: Enabling Search through Automatic Metadata Generation",
2018 IEEE 14th International Conference on e-Science (e-Science),
IEEE,
2018,
doi: 10.1109/escience.2018.00025
Posters
Wahid Bhimji, Steven Farrell, Oliver Evans, Matthew Henderson, Shreyas Cholia, Aaron Vose, Mr Prabhat, Rollin Thomas, Richard Shane Canon,
"Interactive HPC Deep Learning with Jupyter Notebooks",
Supercomputing 2018, Dallas, TX,
November 2018,