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Assoc Prof Dr. Francesco Asnicar | Metagenomics | Best Researcher Award

Tenure-track researcher, Assistant Professor, Department CIBIO, University of Trento, Italy

Francesco Asnicar, PhD, is a tenure-track researcher at the University of Trento, Italy, specializing in computational biology and microbiome research. With a strong background in computer science and a dedication to uncovering the relationships between the human gut microbiome and diet, he has earned recognition as a Highly Cited Researcher.



🎓 Education:

  • PhD in Information Technology: Transdisciplinary program in Computational Biology (cum laude), University of Trento, Italy, May 2019.
    • Thesis: “A phylogenetic framework for large-scale analysis of microbial communities”
    • Advisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Master of Science in Computer Science: University of Trento, Italy, October 2014.
    • Thesis: “PhyloPhlAn2 and GraPhlAn: novel reconstruction and visualization tools for large-scale whole-genome phylogenomics”
    • Advisors: Prof. Enrico Blanzieri and Prof. Nicola Segata
  • Bachelor of Science in Computer Science: University of Trento, Italy, March 2012.
    • Thesis: “Installazione e Test di Estensioni Grafiche Real-time per Debian GNU/Linux”
    • Advisor: Prof. Luca Abeni

💼 Experience:

  • Tenure-track Researcher: Department of Cellular, Computational, and Integrative Biology (CIBIO), University of Trento, Italy (Current)
  • Postdoctoral Fellow: Laboratory of Computational Metagenomics, University of Trento, Italy (June 2019 – April 2024)
    • Led the local operative unit of the Human Microbiome Action H2020 project
    • Collaborated with TwinsUK and Nutritional Sciences Departments at King’s College London, and ZOE Limited
    • Supervised multiple PhD, MSc, and BSc students

🔬 Research Interest Areas:

  • Computational phylogenetics analysis tools
  • Human gut microbiome and diet relationships
  • Advanced statistical and computational approaches, including machine learning

🏅 Honours and Awards:

  • Highly Cited Researcher 2023: In Cross-Field by Clarivate
  • Highly Cited Researcher 2022: In Cross-Field by Clarivate
  • Member of the Gruppo 2003 per la Ricerca Scientifica: Since 2023

📚 Publications:

Effects of a personalized nutrition program on cardiometabolic health: a randomized controlled trial

Journal: Nature Medicine

Date: May 8, 2024

DOI: 10.1038/s41591-024-02951-6

Machine learning for microbiologists

Journal: Nature Reviews Microbiology

Date: April 2024

DOI: 10.1038/s41579-023-00984-1

Longitudinal gut microbiome changes in immune checkpoint blockade-treated advanced melanoma

Journal: Nature Medicine

Date: March 2024

DOI: 10.1038/s41591-024-02803-3

Francesco Asnicar | Metagenomics | Best Researcher Award

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