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Update contributors.yml with Galin Bistrev personal info #283

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Update contributors.yml with Galin Bistrev personal info #283

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Update contributors.yml with personal info
GalinBistrev2 Mar 19, 2025
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Update contributors.yml
GalinBistrev2 Mar 19, 2025
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GalinBistrev2 Mar 19, 2025
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Update contributors.yml Galin Bistrev photo
GalinBistrev2 Mar 19, 2025
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GalinBistrev2 May 21, 2025
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14 changes: 13 additions & 1 deletion _data/contributors.yml
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Expand Up @@ -21,7 +21,18 @@
email: apenev@uni-plovdiv.bg
education: PhD Computer Science, University of Plovdiv “Paisii Hilendarski”, Plovdiv, Bulgaria (2013)
active: 1


- name: Galin Bistrev
info: "CERN Summer student 2025"
email: gbistrev@uni-sofia.bg
photo: Bistrev.png
education: "Nuclear and particle physics , Sofia University "St. Kliment Ohridski , Bulgaria"
current: 1
past_info:
description:
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We also need a photo and a project description. I should be able to provide the latter.

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Unfortunately my photos are on a separate computer which is currently inaccessible by me,I will try to provide a photo as soon as possible

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I am still waiting on this.

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@davidlange6, I can't seem to find the project proposal. Can you help us with that?

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I am still waiting on this.

Is there something I should provide.

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@vgvassilev vgvassilev May 19, 2025 •
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Here is the project description. Can you work it in:

This project aims to introduce automatic differentiation techniques into the CMS Combine tool. Combine is the primary statistical analysis tool used in CMS and is based on the RooFit software. Recently RooFit has started using automatic differentiation (AD) technology to aid minimization algorithms. Computationally cheap gradients produced by AD can improve performance of the larger workflows in Combine by more than 5x as demonstrated at ICHEP. The way how RooFit implements AD also benefits the shareability of likelihoods. To get the likelihood gradient, RooFit transforms the likelihood from its internal representation to simple standalone C++ code, which is then used to generate the gradient code. This can help collaborators without RooFit and Combine expertise to work with likelihoods from Combine at a lower level. Adopting AD in Combine requires further collaboration between the parties.

This project aims to bring this AD support into Combine. Aspects include reducing some of the code in Combine in favor of more standard RooFit primitives; Implementing AD support for Combine-specific RooFit primitives; and writing benchmarks to showcase the benefits of RooFit AD in Combine. The student selected for this project will work with several high-energy physics codes as well as the LLVM compiler ecosystem.

mentors: Vasil Vassilev,David Lange,Jonas Rembser


- name: Aaron Jomy
photo: Aaron.jpg
info: "Research Intern at CERN"
Expand Down Expand Up @@ -1201,3 +1212,4 @@
report: |
[Poster](/assets/presentations/LLVM2020_Clad.pdf){:target="_blank"}
mentors: Vassil Vassilev, Alexander Penev

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