Connor Duffin
Research Software Engineer at Natural History Museum
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolConnor Duffin is a Research Software Engineer with eight years’ experience applying computational statistics and HPC to ecological and physical-system forecasting. Based in Cambridge, he leads engineering for the Natural History Museum’s Biodiversity Futures Lab, where he scaled geospatial pipelines 100x, migrated workloads to cloud/HPC, and established automated testing and open-source access to core datasets. His background includes a PhD in Mathematics and Statistics and developing reproducible Python packages and manuscripts at the University of Cambridge, alongside supervising students and rigorous code review practices. Comfortable across cloud orchestration, unit-tested scientific software, and teaching statistical programming, he combines research rigour with production-grade engineering to move ecological models from prototype to scalable service. An understated strength is his track record of shipping open-source tools that bridge academic methods and operational data infrastructure.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS, Doctor of Philosophy - PhD, MATHEMATICS AND STATISTICS at The University of Western Australia
Github Skills (25)
r-package7
spatial5
kernel5
vector4
r4
geospatial4
terra4
cuda4
raster3
gpu3
stan3
data-handling3
statistics3
spatial-data3
linux2
Programming languages (4)
Github contributions (5)
connor-duffin/connor-duffin.github.io
Mar 2019 - Dec 2024
Contributions:35 pushes, 1 branch in 5 years 10 months
connor-duffin/low-rank-statfem
Aug 2021 - Jan 2023
Contributions:13 commits, 11 pushes in 1 year 5 months
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