Michele Peresano
Postdoctoral Researcher at Max Planck Institute for Physics
Garching bei München, Bavaria, Germany
Summary
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Senior🎓
Top SchoolMichele Peresano is a postdoctoral researcher with nine years of experience specializing in very-high-energy gamma-ray and cosmic-ray detection using Air Imaging and Water Cherenkov techniques. Currently at the Max Planck Institute for Physics and active in the CTA Consortium, he develops low-level data pipelines and event reconstruction for next-generation observatories and helps design the Southern Wide-field Gamma-ray Observatory (SWGO) with a focus above 100 TeV. He brings a rare combination of on-site instrument operations (shift leader roles at MAGIC) and software engineering, contributing to open-source projects like ctapipe where he implemented and tested advanced image cleaning and waveform integration methods. His toolkit spans Python, C/C++, Fortran, Unix environments and containerization, with strong skills in statistical analysis, big data and supervised machine learning applied to astrophysical signals. Michele’s work bridges hands-on telescope operations, simulation-driven instrument performance studies, and production-ready data-processing code for global gamma-ray facilities.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer science Mathematics and Physics - High Energy Astrophysics, Doctor of Philosophy - PhD Computer science Mathematics and Physics - High Energy Astrophysics at Università degli Studi di UdineMaster's degree Theoretical Physics, Master's degree Theoretical Physics at Università degli Studi di Trieste
German, Italian, English, French
Stackoverflow
346reputation
11kreached
4answers
9questions
Github Skills (15)
algorithms10
pytest10
python10
image-processing10
astronomy9
hdf7
pip6
linter6
git6
exceptions6
docker6
artifact6
dockerfile6
setuptools6
ruff6
Programming languages (12)
Github contributions (5)
cta-observatory/ctapipe
Jun 2019 - Sep 2022
Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:357 reviews, 65 commits, 31 PRs in 3 years 3 months
Contributions summary:Michele primarily worked on implementing image cleaning algorithms for the CTAO imaging atmospheric Cherenkov telescopes. This involved refactoring existing image cleaning functions, adding new functionalities like the MARS tailcut, and integrating them into the `ctapipe` pipeline. The user also addressed issues related to naming conventions, docstrings, and boundary thresholds. Furthermore, the user contributed to integrating a new two-pass waveform integration method, including unit tests and bug fixes, as well as improving the data model and test coverage.
arraypipelinedata-processingprocessing-pipelineastronomy
HealthyPear/pyrf
Apr 2020 - Oct 2020
Python IRF builder
Contributions:87 pushes, 10 branches in 5 months
pythonbuilderpython3python2irf
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