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).
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.