Academic Services

Organization

• AI + Environment Summit (AIES) — Co-organizer (2025–present)
  
• DeepSDM Day 2026 — Co-organizer
  

Invited Talks

• Machine Learning in Biology Summer School 2026 (university of Bern) — Invited speaker: From imperfect and multimodal data to ecological understanding
  

Reviewer for Conferences and Journals

• NeurIPS (2025, 2026)
• ICLR (2026)
• ICML (2025)
• Ecological Informatics
• Limnology and Oceanography Letters
• Computer Vision for Ecology Workshop (ECCV 2024, ICCV 2025)
• Climate Change AI Workshop (NeurIPS 2024, ICLR 2025)

Master’s Student Supervision at EPFL

• Claudia Maiolino (2025-2026)
  
  • Master thesis: Uncertainty Quantification and Explanation in Deep Learning for Species Distribution Modeling
    
• Wesley Monteith-Finas (2025)
  
  • Semester project + research assistant: An Image is NotWorth 72 Time Steps? Sentinel-2 Imagery in Deep, Multi-Modal, Masked Species Distribution Modeling
    
  • Publication at ICLR 2026
    
• Julie Charlet (2024-2025)
  
  • Semester project: Time Series Tokenization Methods for Species Distribution Modelling with Deep Learning
    
  • Abstract at EGU 2025
    
• Paul Oliver (2023-2024)
  
  • Semester project: Species Distribution Modeling with Meta-learning
    
  • Current position: Doctoral student at UNIL (since 2025)
    

Teaching Assistance at EPFL

(SA = Student Assistant, TA = Teaching Assistant)

• Machine Learning (CS-433)
  Fall 2024 (TA), Fall 2020 (SA)

• Introduction to Machine Learning (CS-233)
  Spring 2025 (TA), Spring 2024 (TA), Spring 2021 (SA), Spring 2020 (SA), Fall 2019 (SA)

• Image Processing for Earth Observation (CS-540)
  Fall 2025 (TA)

• Stochastic Models in Communication (COM-300)
  Fall 2020 (SA), Fall 2019 (SA)

• Information, Calcul, Communication (CS-119)
  Fall 2023 (TA), Fall 2022 (TA), Spring 2021 (SA), Fall 2020 (SA), Spring 2020 (SA), Fall 2019 (SA)

• Circuits and Systems (EE-204)
  Fall 2018 (SA)