Pierre GalmicheLitternaweg 11b, 3930 Visp, CH | +33 6 62 12 44 88 | pgalmiche9@gmail.comlinkedin.com/in/pierre-galmiche | github.com/pgalmiche | pierregalmiche.linkBorn on May 13, 1997 | Nationality: FrenchSUMMARYPassionate computer scientist with expertise in machine learning, data analysis, and mathematical modeling. Skilled inworking across disciplines to turn complex problems into practical solutions, and in communicating insights clearly to bothtechnical and non-technical teams. Focused on creating data-driven solutions with measurable impact.SKILLSResearch & Development: ML Methods, pipeline design, interdisciplinary collaborationStatistical Analysis & Data Visualization: Analysis of heterogeneous medical data with applications in radiotherapyDeep Learning & Scientific Libraries: TensorFlow, PyTorch, Keras, NumPy, Pandas, Scikit-learn, OpenCVMLOps & Engineering: Git, DVC, Docker, CI/CD, AWS, Linux/Unix, automation of data pipelines & documentationProgramming Languages: Python, C++, C, MATLAB, Julia, RLanguages: French (Mother tongue) | English: Fluent (C1) | German: Intermediate (B1)Soft Skills: Creativity in problem-solving, Analytical thinking, Communication skills (explaining complex ideas clearly), CuriosityEXPERIENCEPhD in Computer Science Sep 2020 – Nov 2024ICube Laboratory Strasbourg, France• Monitored breast shape evolution during radiotherapy by performing 3D shape matchingand image analysis on clinical trial data (link to my manuscript)• Partnered with radiotherapists and medical physicists to align research with clinical needs.• Published in: Pacific Graphics 2023, CGF 2023, ICCR 2024Temporary teaching and research associate Sep 2023 – Aug 2024T ́el ́ecom Physique Strasbourg, University of Strasbourg Strasbourg, France• Delivered both lectures and hands-on practicals for Master’s courses (Engineering school)in Algorithms and C Programming, Statistics, Machine Learning and Pattern Recognition, and Numerical Analysis.• Supervised student projects in C programming and Data Science/AI.Medical Image Processing Internship (Master 2) Feb 2020 – Jul 2020General Electric Healthcare Strasbourg, France• Created and implemented Image Quality Assessment (IQA) techniques to enable consistent evaluation of CT image quality.• Analyzed the balance between X-ray dose reduction and maintaining image quality to optimize patient safety and diagnostic value.Supply chain optimization Internship (Master 1) Oct 2019 – Jan 2020 ́Electricit ́e de Strasbourg Strasbourg, France• Applied data-driven optimization techniques to improve global supply chain performance.EDUCATIONUniversity of Strasbourg, ICube Laboratory, MLMS Team Strasbourg, FrancePh.D. in Computer Science Sep 2020 – Nov 2024University of Strasbourg Strasbourg, FranceMaster in Applied Mathematics Sep 2018 – Aug 2020University of Lorraine Nancy, FranceBachelor of Science in Fundamental Mathematics Sep 2015 – Aug 2018