Featured Projects

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Natural Resilience in the Amazon

Floods and illegal mining affect the tri-national Amazonian region of Madre-de-dios-Acre-Pando where Brasil, Perú and Bolivia meet. With spatial data modeling of ecosystem services, we inform smart and sustainable spatial planning. Explore interactively future scenarios, mining expansion and ecosystem services assessment.

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Locating Dams from Space

Dams have tremendous impacts on habitats, and the vast majority of them aren’t mapped in globally available datasets. Thanks to deep learning computer vision algorithms, and fine-resolution satellite imagery, we can probably find them! Prototype {Work in progress}

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Mapping Natural Capital

In the context of UN’s IPBES’ Global Assessment of Ecosystem Services, we’ve mapped key Nature’s Contribution’s to People: Pollinators’ contribution to feeding the world, Coastal habitat protecting shorelines from floods and storms and Water quality improved by pollution retention in soils. A publication is in review, the results can be explored on the viewer.

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Green Growth around the World

Mainstreaming finance and policy mechanisms from around the world, this book gathers case studies of Green Growth that works. To explore my figures & illustrations, get the book or discover it in this interactive map of examples.

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Natural Capital Data Visualization

NatCap's Visualization Gallery! Particularly proud to have contributed a strategic guide to communicate Ecosystem Services data and a viewerTemplate for webmapping!. And always reflecting on the usefulness of webmaps for decision-making...

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Forecasting Future Food Sufficiency

Using machine learning to predict crop yields in 2050, we explore future caloric sufficiency under scenarios of climate and societal changes.

{Paper in review}

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Sustainable Development Plan, Belize

State-of-the-art ecosystem services mapping and analysis in the context of planning major extension of the Caracol road, across the Caracol-Chiquibul-Mountain Pine Ridge region. Our interactive map provides an overview of the stakeholder-driven data, interests, values, and knowledge.

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Forest Carbon Sotrage Modeling

Carbon storage is on average 25% lower in tropical forest edges than interiors, yet we don't fully understand why. Machine learning allow us to investigate a broader set of possible drivers - both anthropogenic and natural - at a finer spatial resolution than ever done before, informing how to stop this degradation. {Paper in the works}

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Tana’s Multi-Objective Decision Tool

In Nairobi, Kenya, the Upper-Tana Water Fund has a triple objective: (1) to maximize water yield serving the city's water supply and hydropower needs, (2) to minimize sediment export to streams which decrease water quality, as well as (3) soil erosion which reduces agricultural productivity. Understanding and visualizing the trade-offs is key to a optimize between competing objectives.

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Ecosystem Services in Mongolia's Gobi Steppe

In collaboration with WCS, we hosted NatCap's first fully virtual training & hackathon and developped ecosystem services models for Rangelands production, as well as Wind Erosion (ongoing).

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Volunteering

Sustainability groups, climate marches, scientific expedition on marine plastic pollution, sustainable tourism organisations… In a previous life, I was a better person and a climate activist.

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Circus

My side career as an aerialist x)

















Press & Publications



Where I work(ed)

Since Fall 2020 : Lausanne, Switerland

ENAC-IT Data Science, École Polytechnique Fédérale de Lausanne



2016 - 2020 : San Francisco, California

The Natural Capital Project, Stanford University







Data scientist @ naturalcapitalproject.stanford.edu