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.
Profile
🎓 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
đź’Ľ 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
đź“š 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