Summary
Alice Lépissier is an applied scientist and machine learning engineer with over a decade of experience building production analytical systems at the intersection of climate finance and illicit finance. Currently Executive Director at Green Finance AI, she designs adversarial statistics challenges to harden LLMs and delivers Generative AI training for organizations including the UN. Her academic work includes a PhD and postdoctoral research using ML and quantitative economics to model climate policy, carbon markets and the finance of decarbonization. She led development of SkyShares, an interactive tool linking atmospheric physics to market simulations, and has built AI systems for sustainable agriculture and real-time farm nitrogen monitoring. Comfortable shifting between research, policy engagement and product development, she brings rare fluency in statistics, economics and practical ML applied to high-stakes public-interest problems. Based in the Washington DC–Baltimore area, she combines rigorous academic training with hands-on engineering and international policy experience.
11 years of coding experience
9 years of employment as a software developer
Master's Economics & Public Policy, Master's Economics & Public Policy at Sciences Po
Erasmus European foreign policy., Erasmus European foreign policy. at Universidad Complutense de Madrid
University College London
Doctor of Philosophy - PhD Environmental Science and Management, Doctor of Philosophy - PhD Environmental Science and Management at UC Santa Barbara
International Option Baccalaureate (OIB) Economics, International Option Baccalaureate (OIB) Economics at British Section, Lycée International
Joint Master's in Economics & Public Policy with Sciences Po Paris, Joint Master's in Economics & Public Policy with Sciences Po Paris at École Polytechnique
London School of Economics and Political Science
English, French, Spanish, Italian