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TEAM LADE
Lucrezia Valeriani
Researcher at Laboratory of Data Engineering

I am a third year PhD student at the RIT Institute at Area Science Park and University of Trieste supervised jointly by Alberto Cazzaniga (Area Science Park) and Giulio Caravagna (UniTS).

My research focuses on the analysis and modeling of Long Read sequencing data using machine learning and deep learning techniques. I hold a Master’s degree in Data Science and Scientific Computing from the University of Trieste, where I completed my thesis in collaboration with the RIT Institute. Previously, I earned a Bachelor’s degree in Genomics from the University of Bologna.

 

Research Interests 
  • Machine Learning
  • Genomics
  • Large Language Models
  • AI in Life Sciences
Experience & Education
  • PhD in Applied Data Science and Artificial Intelligence at University of Trieste, present
  • MSc in Data Science and Scientific Computing, University of Trieste, 2022
  • BSc in Genomics, University of Bologna, 2020

Latest publications

11/06/2026
Tumour evolution as ground truth for cancer whole-genome sequencing
Abstract Cancer genomes are shaped by evolutionary processes that couple mutagenesis, clonal selection, chromosomal instability,…
Go to the news Tumour evolution as ground truth for cancer whole-genome sequencing
18/09/2025
The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models
Abstract Recent advances in multimodal training have significantly improved the integration of image understanding and…
Go to the news The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models