Pablo Ubilla Pavez

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Hola, Hello, Bonjour! I’m Pablo (or Pavlo).

I’m broadly interested in machine learning and statistics. More specifically, I’m interested in developing methods that help us undertand and protect our natural world.

Right now, I am doing my PhD at Inria Montpellier with the EVERGREEN group, supervised by Diego Marcos and Christophe Botella. My thesis focuses on methods that improve the transferability of Deep Species Distribution Models across space, environment, and species. It is funded by the ANR project EcoControl. I also work closely with Pl@ntNet (download the app if you haven’t already!).

I hold a BSc in Industrial Engineer from Universidad de Chile and a Master’s in Operations Management in the same university, supervised by Charles Thraves. Aside from math, I’ve always been fascinated by the natural world and how evolution has produced such a wide variety of species. To combine this passion with my background, I did a Master’s in Ecology & Data Science at University College London (UCL), supervised by Daniel Maynard. My PhD is an attempt to keep working in this intersection.

Outside of research stuff, I enjoy creating and playing music, bouldering, and eating lettuce. J’essaie d’apprendre le français.

Feel free to reach out at: pablo[dot]ubilla-pavez[at]inria[dot]fr

News

Aug 03, 2026 Our work “An accurate, fast, and scalable ecological inference algorithm for the $R\times C$ case” is now published in Statistcs and Comptuing! This was based on my master thesis at Universidad de Chile.
Jun 04, 2026 We gave a tutorial on Deep Species Distribution Models with Diego at the AI for ecologists training course from FRB-CESAB
May 14, 2026 Work from my MSc thesis at UCL has been published at PLOS Computational Biology. This is my first published paper 🙂
Jan 08, 2026 We wrote a report on the last Chilean presidential elections
Oct 01, 2025 I will be starting my PhD at INRIA Montpellier!