Ghjulia Sialelli

@ghjuliasialelli.bsky.social

PhD student @eth-ai-center.bsky.social / PRS / Ecovision • working on AI & Sustainability 🛰️🌳 • she/her • made in Corsica • organizer of the @ai-env-summit.bsky.social • 🍉 🔗 https://ghjuliasialelli.github.io/

🛰️ This week you can find me in Vienna for the @esa.int Living Planet Symposium! 🗣️ I’ll be presenting my latest work on biomass estimation at the poster session for “Advances in Monitoring and Management of Forest Ecosystems” (Friday at 1pm) — so drop by if you want to learn more!

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Secure your ticket for the AI + Environment Summit in Zürich to exchange with the AI for environment crowd 🌍🌻💻🐠 Working in the field? You can also submit a poster to showcase your contributions!

Post nicht verfügbar.

Big thanks to all speakers and participants who joined the first Nordic Workshop on AI for Climate Change in Gothenburg, a great success! 🌍💡 Next year’s workshop is already set: June 26, 2026 in Copenhagen 🇩🇰, hosted by our core team at KU & the Pioneer Centre for AI. Let's keep up the momentum! ⚡️

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I'm hiring for a machine learning data scientist & research assistant for summer 2025! Join me on a project on invasive species management with an innovative startup doing on-the-ground removal of environmentally destructive invasive animals. Paid, full-time w/ possibility to extend.

I'm hiring for a machine learning data scientist & research assistant for summer 2025!

Join me in working on a project on invasive species management, by predicting species risk and planning capture strategies. This work will be in partnership with an innovative startup that is working directly to capture environmentally destructive invasive species in the US.

This project will be working with a US-based conservation partner to build predictive machine learning models and design harvest strategies for the removal of invasive animal species. The primary goal is to develop usable ML models and optimization tools to inform practical environmental decision-making on the ground.

There will also be opportunities to extend this work into a research publication for a top-tier AI venue.

The project would be:
Paid, full-time internship for summer 2025
Possibility of extension beyond the summer (part-time or full-time)
Remote, but candidates should be authorized to work in the US
Supervised by Lily Xu, assistant professor at Columbia University

Ideal candidate background will include:
Strong background in CS, data science, and/or applied math
Experience developing machine learning models
Excellent coding skills in Python
Excellent writing and interpersonal communication skills
Genuine interest in conservation/sustainability
Nice to have: background in optimization methods
Nice to have: experience with GIS and geospatial data
Candidates would ideally have already completed an undergraduate degree, but exceptional undergrads will also be considered.

How to apply:
Please send a CV and 3–5 paragraphs of your background/interests via email to <lily.x@columbia.edu> with the subject line "Application: ML for invasive species management". 

Applications will be reviewed on a rolling basis.

Thrilled to be co-organizing the Tackling Climate Change with Machine Learning workshop at #ICLR2025 and bringing in these fantastic keynote speakers! Join us April 28 (in Singapore or free livestream) to hear from @yisongyue.bsky.social on AI for science and Iadine Chades on AI for biodiversity.

Climate Change AI@climatechangeai.bsky.social · 2y ago

We're excited to announce @yisongyue.bsky.social and Iadine Chades as keynote speakers at our #ICLR2025 workshop on Apr 28! 🎉 Learn more about the workshop and our free livestream here: www.climatechange.ai/events/iclr2... A big thanks to @mila-quebec.bsky.social for sponsoring the event.

Excited to share that the first paper of my PhD has been accepted for publication at the ISPRS Geospatial Week 2025! This dataset paper introduces a globally representative, high-resolution (10m) benchmark dataset for Above Ground Biomass estimation.

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