Simone Rancati, PhD. Department of Electric, Computer and Biomedical Engineering, University of Pavia, Pavia (Italy)

Dr. Simone Rancati is a biomedical engineer and researcher working at the intersection of artificial intelligence, bioinformatics, and translational medicine. He obtained his MSc and PhD in Biomedical Engineering from the University of Pavia, where his research has focused on machine learning and deep learning methods for biomedical and genomic data. His work spans foundation models for biological sequences, viral genomics, clinical time-series analysis, and AI-driven decision support in healthcare. He has contributed to international research projects on genomic language models and computational virology, including the development and evaluation of representation-learning approaches for viral genomes and medically relevant sequence analysis workflows. His expertise combines methodological AI research with practical applications in healthcare and biomedical informatics, making him well positioned to lead a tutorial on genomic foundation models and their emerging role in medicine and epidemiology.

Pablo Arozarena Donelli, MSc. Computer Science Institute, DISIT, University of Piemonte Orientale, Alessandria (Italy)

Pablo is a PhD candidate in the Italian National Program on Artificial Intelligence in Health and Life Sciences. With a foundational background in Molecular Biology and Genetics, Pablo specializes in the emerging intersection of genomics and deep learning. Since 2024, his research has focused on the transformative potential of genomic Language Models (gLMs) for clinical and epidemiological applications. His 2025 thesis, "Data Collection and Artificial Intelligence for Genomic Representation in Computational Virology", laid the groundwork for high-impact collaborative projects with the University of Florida and NVIDIA. This collaboration resulted in the development of Vir2vec, a novel framework for genome-wide viral embeddings. His expertise in bridging the gap between biological complexity and state-of-the-art AI architectures makes him uniquely qualified to lead this tutorial on the clinical deployment of foundation models like Evo2.

Luigi Portinale, PhD. Computer Science Institute, DISIT, University of Piemonte Orientale, Alessandria (Italy)

Full Professor of Computer Science

Riccardo Bellazzi, PhD. Department of Electric, Computer and Biomedical Engineering, University of Pavia, Pavia (Italy)

Full Professor of Bioengineering and Medical Informatics

Enea Parimbelli, PhD. Department of Electric, Computer and Biomedical Engineering, University of Pavia, Pavia (Italy)

Assistant Professor at University of Pavia

Giovanna Nicora, PhD. Department of Electric, Computer and Biomedical Engineering, University of Pavia, Pavia (Italy)

Assistant Professor at University of Pavia