Martin Vickers
Senior Scientist at Plenty Sense Ltd
Norwich, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMartin Vickers is a Senior Scientist and research computing specialist with over a decade of experience building and managing HPC, storage and virtualisation infrastructure for genomics and environmental research. Holding a PhD in Planetary Physics plus an MSc in Remote Sensing and a BSc in Computer Science, he blends deep scientific training with practical systems engineering to support large-scale sequencing projects and plant phenotyping with drone remote sensing. At the John Innes Centre he leads genomics computing initiatives, helped procure multi-million pound GPU and distributed storage systems, and contributes to institutional research computing governance. He previously designed and ran virtualization and HPC services for university institutes, consulting on IoT and telemetry backends for industry clients as well. An active open-source contributor and author of widely cited research, he pairs reproducible bioinformatics tooling with hands-on ops skills and a personal penchant for building things and exploration beyond the lab.
10 years of coding experience
9 years of employment as a software developer
Computer Science BSc, Computer Graphics, Computer Science BSc, Computer Graphics at University of NottinghamPhD Physics, Texture-Based Organisation and Visualisation of Planetary and Remote Sensing Datasets, PhD Physics, Texture-Based Organisation and Visualisation of Planetary and Remote Sensing Datasets at University of Wales, AberystwythRemote Sensing MSc, Radiative Transfer Modelling, Remote Sensing MSc, Radiative Transfer Modelling at University College London, U. of London
Github Skills (56)
blast10
tuple10
bioinformatics-analysis10
docker-image10
indexing10
structural-variation10
pairwise10
htslib10
bioinformatics10
genomics10
fasta10
sequence10
fastq-format10
rkt9
sequence-alignment9
Programming languages (8)
Github contributions (5)
martinjvickers/KAST
Jan 2016 - Feb 2022
Perform Alignment-free k-tuple frequency comparisons from sequences. This can be in the form of two input files (e.g. a reference and a query) or a single file for pairwise comparisons to be made.
Contributions:33 releases, 418 commits, 13 PRs in 6 years 2 months
querytuplesequencepairwisealignment
martinjvickers/SLURM-cheat-sheet
Nov 2017 - Jan 2020
Contributions:3 commits, 4 pushes in 2 years 2 months
slurmcheat-sheetsheet
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