I am a third year ETH AI Center Doctoral fellow, supervised by Prof. Konrad Schindler (ETH, PRS) and Prof. Jan Dirk Wegner (UZH, Ecovision). My research lies at the frontier of computer vision and remote sensing to solve scientific questions in the environmental sciences. In particular, my current work focuses on high-resolution global mapping of above-ground biomass.
I am also the co-founder and an active member of the AI + Environment Summit, a non-profit that organizes the eponymous event.
I did my MSc at ETH Zurich, and my undergrad at École Polytechnique (Paris).
📝 publications
AGBD: A Global-scale Biomass Dataset (ISPRS GSW 2025 Oral)
Ghjulia Sialelli, Torben Peters, Jan D. Wegner, Konrad Schindler
We introduce a ML-ready dataset and benchmark models, for dense high-resolution global biomass estimation.
🔥 news
- March - June 2026 — Research stay at the Deep Learning Research Group at RISE, hosted by Dr. Olof Mogren.
- February 2026 — Presented my research on large-scale biomass estimation at IBM Research Zurich.
- January 2026 — Moderated a panel on Sustainable AI at the AI House Davos. Watch the recording.
- December 2025 — At EurIPS Copenhagen, presenting a poster at the Workshop.
- October 2025 — Chairing the AI + Environment Summit 2025!
- June 2025 — At the Living Planet Symposium in Vienna.
- April 2025 — Invited talk for the RISE Learning Machines.
- April 2025 — Poster at WiDS Zurich.
- April 2025 — Oral Presentation at ISPRS GSW25.
- February 2025 — Featured in CCAI newsletter.
- January 2025 — Publication accepted to ISPRS GSW 2025.
- January 2025 — Tutorial for eval.science.
- October 2024 — Chairing AI + Environment Summit 2024.
- September 2024 — Attending ECCV.
- May 2024 — Supporting the AI + Environment Hackathon.
- November 2023 — Supporting AI + Environment Summit 2023.
- September 2023 — Starting my PhD at ETH!
👩🎓 supervision
If you are a student interested in working on any of the following topics, feel free to reach out! Topics: super-resolution of remote-sensing products; long-tail distributions; multi-task learning; geospatial foundation models.
Past students
- Chunyang Gao and Dominik Senti (MSc Semester Project), ICESat-2 spaceborne LiDAR as complementary data source for biomass mapping (2024)
- Noah Kreyenkamp (BSc Thesis), Developing a Data Pipeline for Global-Scale Biomass Mapping (2024)
- Nial Perry (MSc Thesis), Optimizing Biomass Insights: A Multi-Armed Bandit Approach to Coreset Selection (2024)
- Guenole Joubioux (MSc Semester Project) and Angelika Nogueira (BSc Thesis) and Joel Reimann (BSc Thesis), Benchmarking of Earth Observation Foundation Models for Above-Ground Biomass Estimation (2025)
📰 media
- Portrait: Precision for the planet, by Andrea Zeller for the ETH Foundation Uplift magazine
🔗 links
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