Jean Pauphilet

Dr Jean Pauphilet's research develops data analytics methods for positive-impact applications, with a methodological focus on prediction-based decision-making. His research designs new algorithms for machine learning, large-scale optimisation, and optimisation under uncertainty, with application to healthcare operations, sustainable operations, and social impact initiatives. His work has been published in leading journals including Operations Research, Management Science, Mathematical Programming, and the Journal of Machine Learning Research.

Jean brings into the classroom his extensive experience in translating analytics research into practice. He has collaborated with medical institutions, NGOs, and companies to improve hospital operations and reduce ocean plastic pollution through data-driven solutions. Prior to joining London Business School, Jean worked as an analyst for Ventech, a French venture capital fund, and has consulted for various companies on analytics strategies across the energy, IT, and healthcare sectors.