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TEAM LADE
Emanuele Goat
Researcher at Laboratory of Data Engineering

I am a Research Fellow at the Laboratory of Data Engineering (LADE), AREA Science Park, where I develop a NLP pipeline to support rare disease diagnosis. During my master’s studies, I worked on Geometric Deep Learning applied to CNNs, and for my master’s thesis, I focused on parameter estimation for dynamical systems. I hold an MSc in Electronics and Computer Engineering from the University of Trieste.

Research Interests
  • Natural Language Processing
  • Geometric Deep Learning
  • Dynamical Systems
Experience & Education
  • MSc in Electronics and Computer Engineering, University of Trieste, 2025
  • BSc in Electronics and Computer Engineering, University of Trieste, 2022
Latest Publications
31/03/2026
MIRA – Medical Innovation for rare disease and medical imaging using AI
The project aims to shorten the diagnostic journey for rare diseases through the application of…
Go to the news MIRA – Medical Innovation for rare disease and medical imaging using AI