E D U C A T I O NBachelor in Fundamental Mathematics | 2018University of Lorraine, FranceW O R K E X P E R I E N C Ewww.linkedin.com/in/pierre-galmiche-70494a136S K I L L SG a l m i c h e P i e r r eOct 2020 - Nov 2024 | PhD in Computer Science (Machine Learning, Dataanalysis for Radiotherapy) ICube Laboratory, University of Strasbourg, FranceSupervisors: Hyewon Seo, Michel de Mathelin> Research and development of Machine Learning/Computer Vision methods,including 3D raw data processing, Medical data analysis, Algorithm optimization> Publications: Pacific Graphics 2023, CGF 2023, ICCR 2024> Teaching: Master levels (Télécom Physique Strasbourg)> Supervision/Monitoring: Master students (M1,M2)Feb 2020 - Jul 2020 | Internship (Master 2) in medical image processingGeneral Electrics Healthcare, Strasbourg, FranceSupervisor : Vincent Pangon> Development of Image Quality Assessment methods for ComputedTomography imagesOct 2019 - Jan 2020 | Internship (Master 2) in supply chain optimizationElectricité de Strasbourg, France> Development of Python-based optimization tools to enhance supply chainefficiency and inventory management.Jun 2019 - Jul 2019 | Internship (Master 1) in predictive modelingLeSportif.com, Strasbourg, France> Data mining> Development of a predictive model using Random Forests to estimateattendance at sports events.L A N G U A G E S- French: native language- English: C1- German: B1Date of birth: 13 May 1997Nationality: FrenchMarital Status: singleWebsite: pierregalmiche.linkLitternaweg 11b, 3930 Visp, CH | +33 6 62 12 44 88 | pgalmiche9@gmail.comD E T A I L SS U M M A R YH O B B I E S- Judo-Junomichi (black belt)- Yoga- Hiking-Travel- Music: BeatboxS O F T S K I L L S- Analytical thinking & Creativity- Active listener / Open minded- Team player- Interest for new technologiesPhD in Computer Science | 2024ICube Laboratory, MLMS team, University of Strasbourg, FranceMaster in Applied Mathematics | 2020University of Strasbourg, France- Signal and image processing- Programming languages:Python, C, C++, MATLAB, Julia- Frameworks: TensorFlow,PyTorch, Scikit-Learn- Version Control & CI/CD:Git, GitHub, GitLab- Containerization & Cloud:Docker, AWS- Algorithm design andoptimization- Statistical Analysis & DataManipulationPhD in Computer Science: Machine Learning, Data analysis and Visualization,Applications to Medical Radiotherapy DataSkills on research and development approaches (fundamentals, methods, tools)Interest for new scientific challenges, innovation and teamworkExpertise and strong motivation to develop creative and impactful solutions tocontribute to the success of innovative and collaborative projects- AI/Machine Learning- Data Analysis & Visualization