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

Aug 2024 - Sep 2025

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

Oct 2023 - Sep 2024

Sep 2023 - Aug 2025

Nick Manganelli
University of Colorado Boulder
On Demand Column Joining with ServiceX (2024) and Advancing Machine Learning Inference with Columnar Analysis at CMS Analysis Facilities (2023)
University of Colorado Boulder
On Demand Column Joining with ServiceX (2024) and Advancing Machine Learning Inference with Columnar Analysis at CMS Analysis Facilities (2023)
Jan 2023 - Jan 2025

Sep 2022 - Sep 2024

Oct 2021 - Oct 2024
Former U.S. CMS Post Doctoral Researchers

Sep 2022 - Sep 2023

Jan 2022 - Jan 2024

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