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
![Card image cap](/assets/images/team/Mohamed-Darwish.jpg)
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
![Card image cap](/assets/images/team/Jethro-Gaglione.jpg)
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
![Card image cap](/assets/images/team/Yao-Yao.jpg)
Oct 2023 - Sep 2024
![Card image cap](/assets/images/team/Kelci-Mohrman.png)
Sep 2023 - Aug 2024
![Card image cap](/assets/images/team/Nick-Manganelli.jpg)
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
![Card image cap](/assets/images/team/Oz-Amram.jpg)
Sep 2022 - Sep 2024
![Card image cap](/assets/images/team/Carlos-Erice-Cid.png)
Oct 2021 - Oct 2024
Former U.S. CMS Post Doctoral Researchers
![Card image cap](/assets/images/team/Ruchi_Chudasama.jpeg)
Sep 2022 - Sep 2023
![Card image cap](/assets/images/team/Nick-Smith.jpg)
Jan 2022 - Jan 2024
![Card image cap](/assets/images/team/Matteo_Cremonesi.jpg)
Jul - Jun 2021
![Card image cap](/assets/images/team/Patrick-McCormack.jpg)
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
![Card image cap](/assets/images/team/Mark_Saunders.jpg)
Feb 2021 - Feb 2023
![Card image cap](/assets/images/team/Jan-Schulte.jpg)
Jan 2021 - Jan 2022
![Card image cap](/assets/images/team/davidedicroce.jpg)
Sep 2020 - Sep 2022
![Card image cap](/assets/images/team/Savannah-Thais.jpg)
Sep 2020 - Sep 2022