Imperial College London


Faculty of Natural SciencesDepartment of Life Sciences (Silwood Park)

Lecturer in Quantitative Evolution



+44 (0)20 7594 3793m.fumagalli




N1.6MunroSilwood Park





I 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 returnd 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 in 2016 and then became Lecturer (Assistant Professor, now tenured) at Silwood Park in 2017. 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. I often deliver outreach activities on human evolution at local communities and supervise secondary school pupils.



Gower G, Picazo PI, Fumagalli M, et al., 2020, Detecting adaptive introgression in human evolution using convolutional neural networks

Isildak U, Stella A, Fumagalli M, 2020, Distinguishing between recent balancing selection and incomplete sweep using deep neural networks

Dehasque M, avila-Arcos MC, Diez-del-Molino D, et al., 2020, Inference of natural selection from ancient DNA, Evolution Letters, Vol:4, ISSN:2056-3744, Pages:94-108

Torada L, Lorenzon L, Beddis A, et al., 2019, ImaGene: a convolutional neural network to quantify natural selection from genomic data, Bmc Bioinformatics, Vol:20, ISSN:1471-2105

Fox EA, Wright AE, Fumagalli M, et al., 2019, ngsLD: evaluating linkage disequilibrium using genotype likelihoods, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:3855-3856

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