U.S. CMS Software and Computing Research Initiative
The Software and Computing Research Initiative provides partial funding for physicists working in areas where R&D are needed to meet the goals of Software and Computing for the HL-LHC. Projects span the different R&D focus areas, including advanced algorithms, analysis systems, and underlying infrastructure. The overall goal is to make computation of all types feasible and efficient at HL-LHC scale.
Current U.S. CMS Post Doctoral Researchers
Mohamed Darwish
Baylor University
Developing heterogeneous particle flow reconstruction for the CMS Phase 2 detector
Baylor University
Developing heterogeneous particle flow reconstruction for the CMS Phase 2 detector
Mar 2024 - Feb 2025
Jethro Gaglione
Vanderbilt University
Development of a Distributed GPU Machine Learning Training Facility at Vanderbilt's ACCRE Cluster
Vanderbilt University
Development of a Distributed GPU Machine Learning Training Facility at Vanderbilt's ACCRE Cluster
Oct 2023 - Sep 2024
Jul 2023 - Jun 2024
Jul 2023 - Jun 2024
Nick Manganelli
University of Colorado Boulder
Advancing Machine Learning Inference with Columnar Analysis at CMS Analysis Facilities
University of Colorado Boulder
Advancing Machine Learning Inference with Columnar Analysis at CMS Analysis Facilities
Jan 2023 - Jan 2025
Jan 2022 - Jan 2024
Oct 2021 - Oct 2024
Former U.S. CMS Post Doctoral Researchers
Sep 2022 - Sep 2023
Jul - Jun 2021
Patrick McCormack
Massachusetts Institute of Technology
Accelerating offline computing with the Fast Machine Learning Lab
Massachusetts Institute of Technology
Accelerating offline computing with the Fast Machine Learning Lab
Jun 2021 - Jun 2023
Feb 2021 - Feb 2023
Jan 2021 - Jan 2022
Sep 2020 - Sep 2022
Sep 2020 - Sep 2022