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Pierre-Louis Benveniste

PhD student at NeuroPoly and MILA

 pierrelouis.benveniste03@gmail.com

Education

• MSc Applied Mathematics and Artificial Intelligence, MVA (Mathematics, Vision, Learning), Ecole Normale Supérieure Paris Saclay, (2022-2023)
• MSc Industrial Engineering (applied to Energy, Transport and Environment), ISAE-SUPAERO, (2017-2021)
• MSc Management, Imperial College London, (2019-2020)
• Preparatory school for top French engineering schools (Physics, Mathematics, Chemistry), Sainte Geneviève, (2015-2017)

Work experience

• 2021-2022: Data Analyst, Onepoint
  • Python analysis of datasets from clients of the energy sector and dashboard creation for the steering of key parameter indicators using PowerBI
  • Founder of a R&D service in AI in order to complement the data consulting capabilities at Onepoint
  • Teacher for the “Data Analysis in Python” class for master students at ECE engineering school
• Summer 2020: Big Data Intern, Talan
  • Implementation of a web application in order to interact with the client’s database
  • SCRUM method managed project using tools such as JIRA and Microsoft Azure
  • Mastering of new coding languages (JavaScript, HTML) and GDPR certification
• 2017-2019: Business Developper, Supaero Junior Conseil
  • Research for new clients, meetings with HR directors as well as technical managers
  • Creation of a new major partnership between SUPAERO Junior Conseil and LATÉCOÈRE
  • Training of first year students in business development

Fellowships

• ACTRIMS Forum 2024 Educational Grant ($800 CAD)
• ISMRM 2024 Trainee Educational Stipend ($1200 CAD)
• Unique 2024 Travel Grant ($1000 CAD)
• ETS 2024 summer-school grant: Deep Learning for Medical Imaging ($400 CAD)

Articles

• Invernizzi C, Benveniste PL, El Ayachy R, Pointreau Y, Leroy T, Blanchard N, Schipman B, Debelleix C, Chamois J, Bibault JE. Development and external validation of a predictive model for overall survival after lung stereotactic body radiation therapy. Submitted to Red Journal. 2024.
• F. Combes B, Kumar Kalva S, Benveniste PL, Tournant A, Man Hoi L, Newton J, Krüger M, Z. Weber R, Dias I, Noain D, Dean-Ben XL, Konietzko U, R. Baumann C, Gillberg PG, Hock C, M. Nitsch R, Cohen-Adad J, Razansky D, Ni R. Spinal cord perfusion impairments in the M83 mouse model of Parkinson’s disease. European Journal of Nuclear Medicine and Molecular Imaging. 2024.
• Lee LE, Cohen-Adad J, Vavasour I, Guenette M, Sawicka K, Benveniste PL, Rashidi-Ranjbar N, Churchill N, Chopra A, Adelia A, Traboulsee A, Arbour N, Giuliani F, Lynd L, Patten SB, Prat A, Schabas A, Smyth P, Tam R, Yong VW, Graham S, Hodaie M, Feinstein A, Kolind S, Schweizer T, Oh J. Quantitative spinal cord MRI and its relationship with clinical outcomes in multiple sclerosis. Neurology (in minor revision). 2024

Conference

• Benveniste PL, Lee LE, Prat A, Vavasour Z, Tam R, Traboulsee A, Kolind S, Oh J, Chen M, Tsagkas C, Granziera C, Medina N, Muhlau M, Kirschke J, McGinnis J, Reich DS, Hemond C, Callot V, Demortière S, Audoin B, Nair G, Filippi M, Valsasina P, Rocca MA, Ciccarelli O, Yiannakas M, Kearney H, Granberg T, Ouellette R, Stawiarz L, Hillert J, Shahamat T, Bakshi R, Mainero C, Treaba CA, Kerbrat A, Bannier E, Edan G, Labauge P, O’Grady K, Smith SA, Shepherd TM, Charlson E, Brisset J, Talbott J, Liu Y, Lombaert H, Cohen-Adad J. Automatic multi-contrast MRI segmentation of spinal cord lesions. North American Imaging in MS Cooperative (NAIMS) workshop, West Palm Beach, Florida, 2025. (Submitted)
• Warszawer Y, Molinier N, Valosek J, Shirbint E, Benveniste PL, Granberg T, Ouellette R, Tsagkas C, Callot V, Mohamed F, Bednarik J, O’Grady K, Achiron A, Cohen-Adad J. TotalSpineSeg: Robust Spine Segmentation and Labeling Across Multiple MRI Contrasts. 33rd Annual Meeting of ISMRM. 2025 (Submitted)
• Benveniste PL, Valošek J, Chen M, Molinier N, Eunyoung Lee L, Prat A, Vavasour Z, Tam R, Traboulsee A, Kolind S, Oh J, Cohen-Adad J. Automatic segmentation of spinal cord MS lesions across multiple sites, contrasts and vendors. Proceedings of the 32th Annual Meeting of ISMRM. 2024
• Warszawer Y, Molinier N, Valošek J, Shirbint E, Benveniste PL, Achiron A, Eshaghi A, Cohen-Adad J. Fully Automatic Vertebrae and Spinal Cord Segmentation Using a Hybrid Approach Combining nnU-Net and Iterative Algorithm. Proceedings of the 32th Annual Meeting of ISMRM. 2024
• Benveniste PL, Valošek J, Chen M, Molinier N, Eunyoung Lee L, Prat A, Vavasour Z, Tam R, Traboulsee A, Kolind S, Oh J, Cohen-Adad J. Automatic Segmentation of Spinal Cord MS Lesions Across Multiple Sites, Contrasts and Vendors. 9th annual Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum, West Palm Beach, Florida, 2024.

Previous research projects

• Digital twin of a martian greenhouse : python project for the National Center for Space Studies (CNES) and the European Astronaut Centre (EAC)

• A study of the effects of Sustainable Supply Chain Management on the automotive industry : thesis for the MSc Management master at Imperial College (available here)

Leadership Experiences

• 2018: President, ISAE-SUPAERO’s Gliding team
• 2018: Vice-President, ISAE-SUPAERO’s rugby team