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A minute with Sajid Ali Syed, computational science and AI research associate
Always looking for a new trail to ride his bike on or an opportunity to catch a live show in town, Sajid Ali Syed is a research associate in the Computational Science and AI Directorate for high-energy physics applications at Fermilab.
DOE invests $13.7 million for research in data reduction for science
The U.S. Department of Energy recently announced $13.7 million in funding for nine research projects that will advance the state of the art in computer science and applied mathematics. One of the recipients of this funding, Fermilab scientist Nhan Tran will lead a project to explore methods for programming custom hardware accelerators for streaming compression.
Coffea speeds up particle physics data analysis
The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.