Nicolás Gaggion
Scholar

Nicolás Gaggion

Google Scholar ID: CnwAbLMAAAAJ
APOLO Biotech - FCEN, Universidad de Buenos Aires
deep learningcomputer visionplant root phenotypinggraph neural networks
Citations & Impact
All-time
Citations
207
 
H-index
5
 
i10-index
4
 
Publications
14
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • 10+ peer-reviewed publications with 180+ citations.
  • Developed ChronoRoot 2.0, an open AI-powered platform for 2D temporal plant phenotyping (arXiv, May 2025).
  • Created HybridGNet architecture and released CheXmask dataset with over 650,000 chest X-ray segmentation masks (Scientific Data, May 2024).
  • Published 'Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI' in Medical Image Analysis (May 2025).
  • Published 'Fitting Skeletal Models via Graph-Based Learning' at IEEE ISBI 2024 (May 2024).
  • Awarded prestigious MOPGA postdoctoral fellowship (August 2025).
  • Co-authored preprint 'What Large Language Models Know About Plant Molecular Biology' with MoBiPlant dataset on HuggingFace (September 2025).
Research Experience
  • PhD research focused on: (1) automated plant phenotyping systems combining low-cost 3D-printed hardware with deep learning (ChronoRoot platform); (2) anatomically-aware medical image segmentation using HybridGNet architecture.
  • Postdoctoral Research Scientist at APOLO Biotech since May 2024, developing novel computer vision algorithms for high-throughput phenotyping.
  • Adjunct Professor at Universidad de Buenos Aires since August 2024.
  • Professor at Universidad de San Andrés (Data Science Master’s) and Universidad Torcuato Di Tella (Digital Technology) since March 2024.
  • Will join Institute of Plant Sciences Paris-Saclay (IPS2) in November 2025 under MOPGA fellowship, supervised by Dr. Thomas Blein, to develop AI-powered crop phenotyping platforms.