2/4/26 Bi Weekly Meeting at 10 AM CT
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tjm0042
Feb 2, 2026, 10:57:25 AMFeb 2
to Geo-AI Working Group
Hi Geo-AI Working Group,
Thrilled for our next talk this Wednesday. We will be joined by folks from Pi School working on the Earth Virtual Expert (EVE) project specifically, Àlex Atrio, Senior Deep Learning Scientist at Pi School, Antonio Lopez, Deep Learning Scientist, Jino Rohit, Deep Learning Scientist, and Nicolas Longépé Earth Observation Data Scientist with ESA Φ-lab
Title: Earth Virtual Expert (EVE) : An Open-Source Earth Science LLM for Researchers, Policymakers, and the Public
Àlex is a Senior Deep Learning Scientist at Pi School leading EVE, an open-source LLM for Earth Observation with ESA Φ-lab, as well as working on automatic subtitling projects. He holds a PhD in NLP/Machine Translation from EPFL & HEIG-VD, and has a background on Cognitive Science (UPF) and Philosophy (UB), with work across neural, hybrid, and rule-based language generation.
Nicolas received the M.Eng. degree in electronics and communication systems and the M.Sc. degree in electronics from the National Institute for the Applied Sciences, Rennes, France, in 2005, and the Ph.D. degree in signal processing and telecommunication from the University of Rennes I, Rennes, in 2008.
From 2007 to 2010, he was with the Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan. From 2010 to 2020, he was a Research Engineer with the Space Observation Division, Collecte Localization Satellites, Plouzané, France. Since 2020, he has been an Earth observation data Scientist, Φ- Lab Explore Office, European Space Research Institute, European Space Agency, Frascati, Italy. He has been working on the development of innovative EO-based applications for environmental and natural resource management (ocean, mangrove, land and forest cover, soil moisture, snow cover, and permafrost) and maritime security (oil spills, sea ice, icebergs, and ship detection/tracking). At the Phi-Lab, he is particularly involved in the development of innovative Earth observation missions in which artificial intelligence is directly deployed at the edge (on the spacecraft). His research interests include Earth observation, remote sensing, and digital technologies such as machine (deep) learning.
Learn more before the talk here:
Excited for this talk. See you all there!!!
Tim
Thrilled for our next talk this Wednesday. We will be joined by folks from Pi School working on the Earth Virtual Expert (EVE) project specifically, Àlex Atrio, Senior Deep Learning Scientist at Pi School, Antonio Lopez, Deep Learning Scientist, Jino Rohit, Deep Learning Scientist, and Nicolas Longépé Earth Observation Data Scientist with ESA Φ-lab
Title: Earth Virtual Expert (EVE) : An Open-Source Earth Science LLM for Researchers, Policymakers, and the Public
Àlex is a Senior Deep Learning Scientist at Pi School leading EVE, an open-source LLM for Earth Observation with ESA Φ-lab, as well as working on automatic subtitling projects. He holds a PhD in NLP/Machine Translation from EPFL & HEIG-VD, and has a background on Cognitive Science (UPF) and Philosophy (UB), with work across neural, hybrid, and rule-based language generation.
Antonio is a passionate developer interested in Computer Vision and NLP. He holds a master in AI and is working as a Deep Learning Scientist on the EVE project, an open-source LLM for Earth Observation and Earth Sciences, in collaboration with the European Space Agency's Φ-lab.
Jino is a Deep Learning Scientist at Pi School. He holds a bachelors in Computer Science and works on the intersection of ML systems and performance optimization.
Jino is a Deep Learning Scientist at Pi School. He holds a bachelors in Computer Science and works on the intersection of ML systems and performance optimization.
Nicolas received the M.Eng. degree in electronics and communication systems and the M.Sc. degree in electronics from the National Institute for the Applied Sciences, Rennes, France, in 2005, and the Ph.D. degree in signal processing and telecommunication from the University of Rennes I, Rennes, in 2008.
From 2007 to 2010, he was with the Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan. From 2010 to 2020, he was a Research Engineer with the Space Observation Division, Collecte Localization Satellites, Plouzané, France. Since 2020, he has been an Earth observation data Scientist, Φ- Lab Explore Office, European Space Research Institute, European Space Agency, Frascati, Italy. He has been working on the development of innovative EO-based applications for environmental and natural resource management (ocean, mangrove, land and forest cover, soil moisture, snow cover, and permafrost) and maritime security (oil spills, sea ice, icebergs, and ship detection/tracking). At the Phi-Lab, he is particularly involved in the development of innovative Earth observation missions in which artificial intelligence is directly deployed at the edge (on the spacecraft). His research interests include Earth observation, remote sensing, and digital technologies such as machine (deep) learning.
Learn more before the talk here:
Excited for this talk. See you all there!!!
Tim
Biplov Bhandari
Feb 13, 2026, 6:40:18 AM (12 days ago) Feb 13
to Geo-AI Working Group
Hi everyone
Happy Friday. I've included Pi School's presentation on our YouTube channel. Video link: https://youtu.be/8nhlQWD_BGM
Best
Geo-AI WG
Happy Friday. I've included Pi School's presentation on our YouTube channel. Video link: https://youtu.be/8nhlQWD_BGM
Best
Geo-AI WG
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