I build AI systems that turn climate evidence into policy intelligence.
My research connects two challenges: using AI to assess complex climate scenarios transparently, and combining remote sensing with machine learning to build automated, dynamic and intelligent greenhouse gas inventories.
I am a postdoctoral researcher at the Institute of Energy, Environment and Economy, within Tsinghua University's Institute of Nuclear and New Energy Technology, supported by the Shuimu Tsinghua Scholarship. I develop AI methods that connect satellite observations, mathematical modelling and policy analysis.
Previously, I worked as a consultant with the United Nations Environment Programme on methane and climate intelligence. I earned a PhD in Mathematics and Computer Science from Sorbonne University, with research conducted at the Centre for Applied Mathematics, École Polytechnique, and the Institut Supérieur d'Électronique de Paris (ISEP).
I develop analytical systems for settings where scientific complexity, institutional accountability and real-world action meet.
AI as a transparent analytical layer for exploring underexamined pathways, vetting scenario plausibility and coherence, and synthesizing large ensembles for climate assessment processes such as the Intergovernmental Panel on Climate Change (IPCC).
Remote sensing and computer vision for identifying infrastructure, attributing emission signals and updating inventories as emitting behaviour changes over time.
AI designed around the evidence standards, transparency and review processes that public institutions need to use new analytical capabilities responsibly.
Postdoctoral Researcher, Institute of Energy, Environment and Economy
Institute of Nuclear and New Energy Technology
Consultant, Climate & Energy Branch
Consultant in Innovative Technology
PhD in Mathematics and Computer Science
Research laboratories: Centre for Applied Mathematics, École Polytechnique & Institut Supérieur d'Électronique de Paris (ISEP)
Selected for Tsinghua University's competitive postdoctoral fellowship programme supporting outstanding early-career researchers.
SDG-Meter ranked 9th among 100 global AI solutions advancing the United Nations Sustainable Development Goals. International Research Centre on Artificial Intelligence under the auspices of UNESCO.