Paul Dubois

As the head of theDeep Learningcourse for 3rd-year students in the Living, Health & Environment (VSE) track at **CentraleSupélec**, I designed and delivered a comprehensive educational program focused on artificial intelligence applied to life sciences.

✅ Program Development: Designed a structured and progressive curriculum integrating Deep Learning fundamentals, supervised/unsupervised learning, and advanced neural networks.

✅ Teaching & Mentoring: Trained students on AI modeling methods applied to biological and environmental data.

✅ Practical Application: Guided students through concrete projects, including algorithm implementation with PyTorch.

✅ Monitoring & Evaluation: Supervised practical work and assessed learning through case studies and real-world scenarios.

🔹 Development of advanced technical skills in AI and applied data science.

🔹 Enhanced autonomy and analytical thinking through a project-based and experimental approach.

🔹 Knowledge transfer between artificial intelligence and challenges related to health and the environment.

📌 This experience allowed me to pass on myDeep Learningexpertise to the next generation of engineers, preparing them for the scientific and technological challenges of tomorrow. 🚀

As the head of the "Refresher Mathematics" course for Master's students inData Science& Business Analytics (DSBA), I designed and led an intensive program aimed at strengthening their foundational knowledge in mathematics applied to data science and business analysis.

✅ Program Design: Developed a structured module covering the fundamentals of applied mathematics (linear algebra, probability, statistics, optimization).

✅ Teaching and Pedagogy: Transmitted essential mathematical concepts for data modeling, **machine learning**, and quantitative finance.

✅ Practical Approach: Implemented concrete use cases, allowing students to connect theory with business applications.

✅ Inter-school Collaboration: Integrated the program into an excellent academic track, in partnership with CentraleSupélec and ESSEC Business School.

🔹 Enhanced students' analytical skills for better mastery of data-driven tools.

🔹 Adaptation to the requirements of the DSBA program, a benchmark curriculum in data science applied to business.

🔹 Accelerated and effective training, facilitating the transition to advanced courses in data science and artificial intelligence.

📌 A rewarding experience where pedagogy and expertise combined to prepare future data science experts for the analytical and strategic challenges of the professional world. 🚀

📍 London, United Kingdom | July 2020 - September 2020 (3 months)

At thestartupRoom Furnisher, I contributed to the improvement and integration of open-source projects to meet the company's specific needs.

✅ Optimization and adaptation of open-source solutions for integration into the startup's tools.

✅PythonDevelopment: Used the language as a scripting tool to automate and optimize certain processes.

✅ Reading and understanding technical documentation to effectively implement new features.

🔹 Development andscriptingin Python applied to concrete cases.

🔹 Independent work onopen-sourceprojects and improvement of existing solutions.

🔹 Adaptability and rapid skill acquisition on new technologies.

📌 A rewarding experience that allowed me to strengthen my development and technical solution integration skills in a startup environment. 🚀