Featured Projects


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 - and read the book (Spanish).


Green Growth around the World

Mainstreaming finance and policy mechanisms from around the world, this book gathers case studies of Green Growth that works. Get the book or discover the stories through interactive map of examples.


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. Read the paper and explore results on the viewer.


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}


Forest Carbon Storage 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}


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.

Read the preprint.

{Paper in review}


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.


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...


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.


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).



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.



My side career as an aerialist x)

Press & Publications

Selected Publications

  • Global modeling of nature’s contributions to people. Science, 2019.
  • Resilience of food sufficiency to climate change. Preprint, 2020.
  • Trade and food system resilience. Global Food Security, 2020.
  • Food system resilience at farm-scale. Global Food Security, 2021.
  • Cost-Effectiveness of Restoration in Hawaii. Pacific science, 2017.
  • More
  • Books
  • PRO Agua: Resiliencia en la Amazonía (Contributing author, GIS Lead)
  • Green Growth That Works (Contributing author, figures)
  • Phytorestore (Contributing author, translations)
  • Blog posts
  • Read me on Medium
  • Read me on The Conversation
  • White papers & Conferences
  • A guide to Natural Capital Data Visualization. The Natural Capital Project, 2017.
  • Detecting Dams with Satellite Imagery and Deep Learning. AGU, 2019.
  • High Resolution Ecosystem Services Modeling for the IPBES. AGU, 2019.

  • Where I work(ed)

    Since Fall 2020 : Lausanne, Switzerland

    ENAC-IT4Research , École Polytechnique Fédérale de Lausanne

    2016 - 2020 : San Francisco, California

    The Natural Capital Project , Stanford University

    Data scientist @ naturalcapitalproject.stanford.edu