Salvatore Rappoccio - Assistant Professor at University at Buffalo

Salvatore Rappoccio

Assistant Professor at University at Buffalo

Buffalo, New York, United States

Join Prog.AI to see contacts

Summary

🤩

Rockstar

🎓

Top School

Salvatore Rappoccio is an experimental particle physicist and Assistant Professor at the University at Buffalo with 12 years of experience leading CMS research at the CERN LHC and a PhD from Harvard. He blends deep physics analysis with hands-on software development, contributing backend improvements and an analysis prototype to the nanoAOD-tools repository used by collider analysts. His background includes postdoctoral work at Johns Hopkins and technical experience at MIT Lincoln Laboratory, giving him a track record of turning complex detector data into robust, reproducible analyses. Based in Buffalo, he also consults on educational resources and brings an educator’s perspective to mentoring students and developing analysis infrastructure.

12 years of coding experience

2 years of employment as a software developer

Bethlehem Central High School

Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Harvard University

Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Boston University

Stackoverflow

Stats

131reputation

17kreached

1answer

1question

Github Skills (13)

root-view10

analyse10

analyser10

document-root10

python10

analytics10

nano10

post-processing10

data-analysis10

xcode6

macos6

numpy6

reshape6

Programming languages (6)

C++ShellCSSPLSQLJupyter NotebookPython

Github contributions (5)

cms-nanoAOD/nanoAOD-tools

Nov 2017 - Jan 2018

Tools for working with NanoAOD (requiring only python + root, not CMSSW)

Role in this project:

Back-end Developer

Contributions:10 commits, 5 PRs, 25 comments in 1 month

Contributions summary:Salvatore primarily focused on modifying and enhancing the functionality of the `nanoaod-tools` project. Their contributions include fixing issues related to the `noOut` option within the `postprocessor.py` file, ensuring correct output behavior. Additionally, the user added an initial analysis framework prototype, creating and integrating a new analysis module (`TTbarResAna.py`) and related configuration (`postproc.py`). This indicates a focus on improving the core analysis capabilities of the tools.

pythonazerothcorecmsswnanoaodmodular

rappoccio/QJetMassUproot

May 2019 - May 2023

Uproot-based QJet Mass analysis

Contributions:3 PRs, 53 pushes, 2 branches in 4 years

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial