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Lorenzo Martinelli

LORENZO MARTINELLI

Résumé

My name is Lorenzo Martinelli, and i come from Italy.
During my years at EPFL, I developed a passion for applied scientific research, which involved a mix of hands-on work, data analysis, and interpretation.
I am passionate about leveraging technology and data analysis methods to address societal and environmental challenges.

Expériences professionnelles

Data scientist

METEOSUISSE

De Mars 2024 à Septembre 2024

Study of the urban canopy effect on UV exposure over the municipality of Lausanne;
calculation of shadowing and sky view factors using Python (PyQgis, Pandas, scikit-learn), QGIS, and UMEP
plugin, enhancing understanding of UV radiation impact for future epidemiologic studies.

Experimental physicist

EPFL - ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE - CDD

De Novembre 2018 à Octobre 2023

○ Collaboration on the design, implementation, and testing of optical spectroscopy system hardware
upgrades, leading to increased spatial coverage and spectral resolution;
- Upgrade of instrumentation control and acquisition systems, improving acquisition settings
optimization and reducing crashes during experimental operations;
- Leadership of internal experimental campaigns, coordinating a team of scientists;
- Development of novel data analysis techniques for plasma ion temperature measurements with
results and methodology published in a scientific journal;
○ Data acquisition and analysis for international experimental campaigns within EuroFusion;
○ Teaching and supervising Master’s theses; contributing as a teaching assistant.

Parcours officiels

PhD – Physique (EDPY) – Physique (PH) – SB – 2023

Langues

Italien - Langue maternelle

Français - Courant

Anglais - Courant

Espagnol - Technique

Compétences

MATLAB
R&D
Problem solving
Debugging
teaching
Optimisation
optical characterization
Optics
Applied Physics
QGIS
GIS
Data Science
Python
Machine Learning
Pandas
Scikit-learn
Documentation
Projec Management
Scientific Presentation
Characterization
Statistical Data Analysis