Students, postdocs and engineers I supervise or co-supervise, and colleagues I work with regularly.
Open positions
PhD position to open in 2027: Open-World Species Identification by Emulating Experts.
In the context of ANR JCJC eTaxonomist
Weakly supervised computer vision methods that emulate expert trait-based reasoning for zero-shot, interpretable species identification.
I'm regularly looking for motivated PhD students. Even if no position is listed, feel free to get in touch. Contact: diego.marcos@inria.fr.
Current: PhDs, postdocs and interns
- Pablo Ubilla, PhD student, Inria, Robust deep species distribution models (co-supervised with Christophe Botella and Alexis Joly)
- Hugo Riffaud de Turckheim, PhD student, Inria, Foundation models for Earth observation (co-supervised with Sylvain Lobry and Roberto Interdonato)
- Nicolas Houdré, PhD student, Université Paris Cité, Foundation models for Earth observation (co-supervised with Sylvain Lobry, Camille Kurtz, Laurent Wendling and Dino Ienco)
- Jonas Klotz, PhD student, BIFOLD / TU Berlin, Computer vision interpretability in remote sensing (co-supervised with Begüm Demir, Cassio Fraga-Dantas, Pallavi Jain and Konstatinos Panousis)
- Ananthu Aniraj, Postdoctoral researcher, Inria, Interpretable fine-grained recognition
- Noé Flandre, Research engineer, Inria, Foundation models for Earth observation (co-supervised with Roberto Interdonato)
- Ron van Bree, PhD student, Wageningen University, Hybrid AI for crop modeling (co-supervised with Ioannis Athanasiadis)
Alumni
- Valerie Zermatten, PhD, EPFL (2021-2026), Mapping ecosystems with deep learning and extremely multi-modal data (awarded May 2026)
- Alex Levering, PhD, Wageningen University (2019-2024), Landscape quality assessments using deep learning (awarded January 2024)
- Robert Masolele, PhD, Wageningen University (2019-2023), Assessing land use following tropical deforestation (awarded April 2023)
- Pallavi Jain, Postdoc, CIHEAM-IAMM and Inria (2023-2026), Text/satellite cross-modal self-supervised learning (co-supervised with Tristan Berchoux, Dino Ienco, and Roberto Interdonato)
- Konstantinos Panousis, Postdoc, Inria (2023-2025), Probabilistic concept bottleneck models
- Maxime Ryckewaert, Postdoc, Inria (2023-2025), Deep learning for ecological modeling (co-supervised with Alexis Joly)
- Laura Cue, Postdoc, Wageningen University (2022-2025), Predicting deforestation using satellite data and AI (co-supervised with Johannes Reiche)
Frequent collaborators
- Devis Tuia, EPFL, ECEO lab
- Sylvain Lobry, Université Paris Cité, LIPADE
- Dino Ienco, INRAE, UMR TETIS / EVERGREEN Inria team
- Roberto Interdonato, Cirad, UMR TETIS / EVERGREEN Inria team
- Ioannis Athanasiadis, Wageningen University
- Zeynep Akata, Technical University of Munich / Helmholtz Munich
- Alexis Joly, Inria, ZENITH team
- Christophe Botella, Inria
- Pierre Bonnet, Cirad, UMR AMAP
- Cassio F. Dantas, INRAE, UMR TETIS / EVERGREEN Inria team