Dr Matteo FumagalliSenior Lecturer in GeneticsEmail: m.fumagalli@qmul.ac.ukTelephone: +44 (0)20 7882 8342Room Number: 5.01, Fogg BuildingWebsite: https://mfumagalli.github.io/ProfileTeachingResearchSupervisionCollaboratorsGrantsProfileI graduated in biomedical engineering from Politecnico di Milano - Italy (PhD, 2011). I then moved to UC Berkeley for a postdoc position with Professor Rasmus Nielsen funded by EMBO. In 2014 I returned to Europe as a research fellow with Professor Francois Balloux at UCL funded by HFSP and jointly supervised by Professor Frances Brodsky with funding from NIH. I moved to Imperial College London in 2016 and then became Lecturer in Quantitative Evolution at Silwood Park in 2017. I joined Queen Mary University of London as Senior Lecturer in Genetics in 2021. I am also an affiliated fellow at the Digital Environment Research Institute (DERI). In my research, I use statistics and computer science to solve complex questions in human genetics and evolutionary biology. I am a strong advocate of open-source and open-access science initiatives such as Peer Community In. I often deliver outreach activities on human evolution at local communities and organise STEM-career events to secondary school pupils.Undergraduate TeachingEvolution (BIO113) Essentials skills in biomedicine (BMD100) Research projects (BIO600/BMD600)Postgraduate TeachingStatistics for Biologists (BIO724P) Bioinformatics Software Development Group Project (BIO727P) Statistics and Data Analysis (BIO773P) Research projects (BIO702P) ResearchResearch Interests:See Matteo Fumagalli’s research profile pages including details of research interests, publications, and live grants.SupervisionYuemin Li (PhD student) Amelia Eneli (EngD student) Roudin Sarama (PhD student) Janeesh Kaur Bansal (PhD student - secondary supervisor) ---------------------------------------------------------- Pui Chung Siu (Junior Research Assistant, 2023)CollaboratorsMichael DeGiorgio (Florida Atlantic University) Sara Mathieson (Haverford College) Austin Burt (Imperial College London)GrantsNSFDEB-NERC: "Machine learning tools to discover balancing selection in genomes from spatial and temporal autocorrelations" 2023-2026 NERC Exploring the frontiers of environmental research: "Generative adversarial networks for demographic inferences of nonmodel species from genomic data" 2023 The Leverhulme Trust Research Grant: "A deep learning approach to quantify natural selection in Latin Americans" 2018-2022 Human Frontier Science Program postdoctoral fellowship 2014-2016 European Molecular Biology Organization postdoctoral fellowship 2012-2013