Alistair Dunham
Staff Scientist at Wellcome Sanger Institute
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolAlistair Dunham is a staff scientist based in Cambridge with eight years of experience at the intersection of computational biology and biomathematics, now working at the Wellcome Sanger Institute. He completed an MPhil with distinction and is finishing a PhD in the Beltrao Lab at EMBL-EBI, where he developed methods to analyse and predict the proteome-wide consequences of mutations. Alistair combines mathematical modelling, statistical analysis and software development to turn complex genomic data into testable biological insights. His early work on structural variation during an Sanger summer placement progressed into a published contribution to population genomics. He maintains an academic publication record (ORCID linked) and brings a curiosity about the natural world that informs pragmatic, reproducible computational tools. Known for bridging rigorous theory with hands-on data science, he thrives on problems that demand both biological intuition and quantitative precision.
9 years of coding experience
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at University of Cambridge
Github Skills (18)
latex10
convolutional-neural-networks9
javafx9
java9
ocr9
bibtex9
citation8
ai8
biblatex8
academia8
r-package7
bibliography7
deep-learning6
r5
structural-variation3
Programming languages (6)
Github contributions (5)
allydunham/sequence_unet
Oct 2021 - Feb 2023
Fully convolutional deep learning variant effect predictor architecture
Contributions:3 releases, 65 commits, 102 pushes in 1 year 4 months
deep-learningconvolutional-neural-networksvariant-effect-predictionunet
allydunham/deepscanscape
May 2021 - Jun 2022
R package for annotating deep mutational scanning data using the deep mutational landscape
Contributions:2 releases, 5 commits, 1 PR in 1 year
rr-package
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