About
Dr. Matteo Fumagalli is Senior Lecturer in Genetics at Queen Mary University of London, leading the Biology Department within the School of Biological and Behavioural Sciences. His research focuses on computational methods for genomic data analysis, particularly in population genetics, human evolution, and machine learning applications.
- Affiliations: Digital Environment Research Institute, Alan Turing Institute
His work integrates genomic data with machine learning to infer demographic history, selection events, and functional variation. He develops tools like ngsTools and ImaGene for analyzing next-generation sequencing data.
Recent research involves transfer learning for selection detection, deep learning in population genetics, and balancing selection analysis using spatial-temporal models.
- Grants: Barts Charity (2025), NERC (2023-2026), DSIT (2025)
He has received prestigious fellowships including Human Frontier Science Program and EMBO awards, and is a Fellow of the Higher Education Academy.
Dr. Fumagalli supervises PhD students and postdocs, emphasizing inclusive education and ethical publishing advocacy.
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