CV
Machine learning applied to planning, scheduling, combinatorial search and large language models. Full publication list under Publications.
AI Research Scientist & Consultant, Talan
Led applied research projects across graph machine learning and large language models: temporal graph networks for streamflow prediction, synthetic data generation with autoencoders, and LLM fine-tuning deployed behind FastAPI. Delivered production systems for national infrastructure operators, including retrieval and search over large technical document corpora, conversational assistants, and predictive models for network reliability.
Teaching Assistant, Paris Dauphine University
Natural language processing course.
Visiting Researcher, NASA Ames Research Center
Dynamic scheduling under uncertainty for UAV mission scenarios. Introduced a restricted form of dynamic controllability for disjunctive temporal networks, with a tree search guided by a graph neural network. Published at AAAI 2022.
Doctoral Researcher, Safran Electronics & Defense
Industrial doctoral research on path planning for autonomous ground vehicles: graph neural networks used as heuristics inside exact solvers (constraint programming, branch and bound, A*, local search). Published at IROS 2019, with earlier results at the ICML and ICAPS planning workshops. Sole inventor on the resulting patent.