Clemens Lange
Senior Scientist at Paul Scherrer Institut PSI
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolClemens Lange is a senior scientist and particle physicist with 12 years of experience leading software-driven analyses for the CMS experiment at CERN and now based at Paul Scherrer Institute. He combines deep expertise in Monte Carlo simulation, large-scale data analysis, and detector operation with hands-on back-end development—contributing generator fragments and analysis tool improvements in prominent CERN repositories. His work spans production-grade Python and C++ software, calibration and jet ID improvements, and coordinating terabyte-scale workflows, reflecting both coding fluency and experimental responsibility. A summa cum laude PhD and a track record across DESY, CERN, and University of Zurich underline his ability to turn complex detector and physics requirements into reproducible analysis pipelines. Notably, he has driven practical adaptations of community tools (e.g., integrating dasgoclient and modern Jet ID recommendations) that materially improved CMS analysis infrastructure.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD / Dr. rer. nat.), Elementary Particle Physics, summa cum laude, Doctor of Philosophy (PhD / Dr. rer. nat.), Elementary Particle Physics, summa cum laude at Humboldt University of Berlin
English, German, French
Github Skills (15)
simulations10
simulation10
configuration-management10
root-view10
configurations10
high-energy-physics10
monte-carlo10
python10
document-root10
particle-physics10
configuration-file10
data-analysis10
compiler9
c-language8
cprogramming-language8
Programming languages (14)
Github contributions (5)
CERN-PH-CMG/cmgtools-lite
Jun 2016 - Aug 2018
CMGTools as a subsystem, not as a CMSSW overlay
Role in this project:
Back-end Developer
Back-end DeveloperContributions:134 commits, 50 PRs, 14 pushes in 2 years 2 months
Contributions summary:Clemens's commits primarily involve modifications to the `VVResonances/python/analyzers/VVBuilder.py` and related files, focusing on the analysis of physics events. Their contributions include implementing b-tagging improvements, calculating and incorporating mass corrections, and adding trigger weights. These changes suggest the user is involved in the core analysis pipeline, enhancing the quality and accuracy of physics results within the repository.
subsystemcmsswoverlay
cms-sw/genproductions
Jan 2014 - Nov 2020
Generator fragments for MC production
Role in this project:Backend Developer
Backend DeveloperContributions:1 review, 31 commits, 8 PRs in 6 years 11 months
Contributions summary:Clemens's primary contribution involves creating generator fragments for Monte Carlo (MC) production within the context of high-energy physics. These fragments are written in Python and involve configuring Pythia6 and Tauola for specific physics processes, notably charged Higgs production and MSSM Higgs decays. The user's work focuses on defining particle masses, decay modes, and energy parameters to simulate particle interactions for different collision energies and specific decay channels, enabling studies of various physics models. The user also contributed to the configuration of QCD simulations using Madgraph.
productionfragments
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