Morgan Durand

Leading the Data Science and AI division, I drive the strategic implementation of advanced analytics and AI technologies. My role involves overseeing cross-functional teams, fostering innovation, and ensuring data-driven decision-making to achieve business goals.

Leading initiatives in data science and AI, focusing on scaling data-driven solutions across the organization. My work included managing high-impact projects, optimizing machine learning models, and collaborating with stakeholders to align AI strategies with business objectives.

In this role, I directed teams in data science, data engineering, and algorithm development. My responsibilities included architecting data pipelines, developing robust algorithms, and ensuring the seamless integration of data-driven technologies into business processes.

Led the creation and development of the Data Science and Algorithm team from the ground up. Focused on building a strong foundation for data analysis and algorithm development, enabling the team to deliver impactful machine learning solutions. Played a key role in establishing data-driven practices and driving innovation within the organization.

Senior researcher in the Tools and Technics For Labs team - Development of high-throughput tools for physico-chemical characterization and formulation - Development of new methods based on machine learning

Researcher in the Scientific Computing team: - Development of new methods of formulation based on the molecular modeling, machine learning and physico-chemical modelisation - Expertise in design of experiment: formulation lab support - Trainer / tutor as part of an internal training program for L'Oréal technician and junior engineer

In collaboration with Astra-Zeneca Preparation, characterization and stabilization of amorphous state of pharmaceutical active ingredients

In collaboration wit CEVA Santé Animal Characterization and modelisation of interaction between polymer matrices and pharmaceutical active ingredients