
Marina Béguin
Internship in the Airbus Helicopters company

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About me
Postdoctoral Researcher at ETH Zürich | PhD | Image Reconstruction & Computer Vision Researcher
Education

Paris Saclay University
2017 - 2019PhD in Applied physics
Télécom Physique Strasbourg
2013 - 2016Diplôme d'ingénieur généraliste spécialisé en physique et modélisation
Strasbourg university
2015 - 2016Particle physics master degree
Experience

Airbus Helicopters
Jun 2014 - Jul 2014Internship in the Airbus Helicopters companyObservation of the Quality controller job on the Tiger Helicopter manufacturing chain

CERN
Jun 2015 - Aug 2015Internship in the CMS collaborationThe luminosity increase planned for the run 2 of the LHC (January 2018- December 2019) required an improvement of the CMS tracker modules. The internship mission was to took part on the production and to carry out several tests on the new assembled pixel modules.- Improvement of the manufacturing tools accuracy- Test of the new modules: production tests to check the quality of the production process and module qualification tests (thermal cycling and X-ray)- Control of the proper functioning and improvement of the test equipment Show less

CEA Saclay
Mar 2016 - Aug 2016Internship at CERN in the FCC collaborationThe aim of this internship was to design and optimise a detector for the FCC-ee project, a circular electron-positron collider for the post LHC physics. The measurement of the W mass at the W-pair production threshold was chosen as a benchmark, with the objective to reach a total unprecedented uncertainty of 1 MeV.

CERN
Oct 2016 - Dec 2019Subject: Calorimetry and W mass measurement for future experimentsMy analysis addressed the calorimetry of two future experiments:- the high-granularity endcap calorimeter (HGCal) to be installed in the phase-2 upgrade of the CMS detector for the high-luminosity phase of the LHC;- the complete calorimetric system of a detector for the FCC-ee project, a future electron-positron collider in a 100 km ring, for the post-LHC physics.Using simulation, my objective was to optimise their performance in terms of particle identification and reconstruction. For the CMS part, I implemented in C++ a comprehensive, fast and flexible simulation tool that makes it possible to easily test and understand the HGCal characteristics. I was also involved in the improvement of the Geant4-based full simulation tool for the CMS detector (CMSSW) in order to optimise the HGCal jets resolution and the reconstruction of the missing energy. In a second step, the W boson was used to add constraints on the HGCal parameters and to identify the requirements to measure its mass with the best possible accuracy. In this study, I used a software using the Machine Learning Tensorflow library to improve the recoil reconstruction, key parameter in the W mass reconstruction in proton-proton collisions. The W boson mass was also used as reference for the study of a detector for the FCC-ee. With a simulation tool implemented in Python, I demonstrated that the FCC-ee current calorimetry enable the measurement of the W boson with an unprecedented statistical uncertainty. Show less
PhD candidate in the FCC and CMS collaborations
Feb 2017 - Dec 2019Internship in the ATLAS collaboration
Oct 2016 - Jan 2017

CERN
Mar 2020 - Jun 2020Fellow in the FCC collaborationReadout Electrode Design and Performance Optimization of for the Future Circular Collider (FCC) liquid Argon calorimeter

ETH Zürich
Jul 2020 - nowI developed a 3D image reconstruction software in C++ for the analysis of PET images, improving reconstruction accuracy without relying on external data typically used for attenuation and photon scatter corrections. This innovative approach optimizes the efficiency of analyses in a medical context.I integrated machine learning techniques, particularly Gaussian Splatting, to improve photon attenuation correction and optimize the software's performance.As a co-manager of the project, I led a clinical trial at CHUV, coordinating a multidisciplinary team, ensuring compliance with regulatory requirements, and drafting the necessary documentation for Swiss authorities.My work has been presented at several international conferences and seminars. Show less
Postdoctoral Researcher at the ETH Computer Vision Lab
Jan 2025 - nowPostdoctoral researcher
Jul 2020 - Dec 2024
Licenses & Certifications
- View certificate

Advanced Learning Algorithms
DeepLearning.AI, Stanford UniversityMar 2024 - View certificate

Supervised Machine Learning: Regression and Classification
DeepLearning.AI, Stanford UniversityFeb 2024
Honors & Awards
- Awarded to Marina BéguinLauréate du concours Telecom Seeds for the Future Huawei France Aug 2014 Un mois en Chine à Pékin et Shenzhen comprenant deux semaines de cours intensifs de Mandarin à la BLCU et deux semaines de cours théoriques et d'application sur les futurs architectures et protocoles des réseaux (cloud computing, 4G/5G, IP) au quartier général de Huawei à Shenzhen. 12 lauréats en France.One month in China in Beijing and Shenzhen with two weeks of Chinese intensive lessons at the BLCU and two weeks of IT & telecom training at the Huawei base in Shenzhen : theoretical… Show more Un mois en Chine à Pékin et Shenzhen comprenant deux semaines de cours intensifs de Mandarin à la BLCU et deux semaines de cours théoriques et d'application sur les futurs architectures et protocoles des réseaux (cloud computing, 4G/5G, IP) au quartier général de Huawei à Shenzhen. 12 lauréats en France.One month in China in Beijing and Shenzhen with two weeks of Chinese intensive lessons at the BLCU and two weeks of IT & telecom training at the Huawei base in Shenzhen : theoretical andpractical formation on future network architectures and protocols (optical networks, cloudcomputing, 4G/5G, IP). 12 laureates in France Show less
Languages
- anAnglais
- itItalien
- maMandarin
- alAllemand
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