I examine how climate finance is allocated, and what it changes on the ground.
Development economist at CERDI (CNRS · UCA · IRD). I use geocoded data, machine learning, and causal inference to follow climate and development finance from commitment to local impact.
What I work on
Four threads, one question: does development and climate finance reach the places and outcomes it promises?
Climate & adaptation finance
Tracking the volume, targeting, and gaps in "climate money" - from international commitments to who actually receives it.
Geocoded & spatial data
Mapping development aid to the subnational places it lands, so impact can be measured where it actually happens.
Causal inference
Difference-in-differences, event studies, and double machine learning to estimate the real effects of climate policy.
ML & NLP for economics
Using text-as-data and machine learning to classify and extract signal from large policy and project corpora.
Publications & working papers
Maladaptation by Displacement: Spatial Spillovers of Adaptation Finance in Sub-Saharan Africa
Ongoing work with Florian Weiler (Central European University) on the spatial dimension of adaptation finance in Sub-Saharan Africa: how geocoded adaptation projects relate to outcomes in the areas around them. The project combines …
Scaling down climate adaptation finance justice: how cosmopolitan allocation ideals withstand sovereign realities at the subnational level
Joint work with Paul Vernus on how the justice ideals embedded in global climate governance play out when adaptation finance is allocated within countries. Using geocoded adaptation finance across tens of thousands of subnational units …
Development Goals, Emissions Costs? Climate and Development Finance vis-à-vis Local CO₂ Emissions
The global challenge of climate change is increasingly a place-based development challenge: investments that raise living standards also shape long-run emissions through energy systems, infrastructure, and urban form. This paper uses …
No plan, No Aid? The effects of National Adaptation Plan implementation on received Adaptation Aid
“No Plan, No Aid?” examines whether implementing a National Adaptation Plan (NAP) increases a country’s climate adaptation finance. Through a novel theoretical model and a robust Double Machine Learning (DML) approach, the authors find that …
From the notebook
A research visit to CEU Vienna - and a detour through Prague and Bratislava
Notes from a spring research stay at the Department of Public Policy at Central European …
Running LLMs Locally
An Honest Guide for Privacy-Conscious Users
Are there any AlTEXnatives?
Modern Alternatives for LaTeX Writing and Collaboration
Hi there.
I’m a development economist in training at CERDI. I spend most of my time debugging my R and Python codes trying to understand where "climate money" goes, what it is for, what it changes locally, and how data and ML can help answer these questions.
From March to May 2026 I'm a visiting PhD researcher at Central European University in Vienna, hosted by Prof. Florian Weiler in the Department of Public Policy.
Clermont Auvergne University2023
Clermont Auvergne University2021
Clermont Auvergne University2018
Let's talk research, teaching, or a collaboration.
The best way to reach me is by email. I'm always glad to hear from co-authors, students, and others.