Graham Gower
Systems Support Scientific Lead at SA Pathology
Adelaide, South Australia
Summary
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Rockstar🎓
Top SchoolGraham Gower is a computational biologist and systems-minded engineer with 26 years of experience bridging embedded systems and evolutionary genetics. Currently Systems Support Scientific Lead at SA Pathology, he applies deep expertise in C and Python to genetic simulation, neural-network-based inference, and production-ready scientific software. His postdoctoral work at the Globe Institute focused on using applied deep learning to detect adaptive introgression, alongside mentoring and supervising students. Graham’s background in embedded Linux and low-level systems gives him a rare ability to optimise algorithms end-to-end, from kernel and driver considerations to high-level statistical modelling. He maintains an active GitHub with research software and reproducible tools, and his combined PhD in Biology and engineering degrees reflect a career that marries rigorous quantitative science with pragmatic software engineering. Based in Adelaide, he brings both academic publication experience and decades of Unix-centered development to complex bioinformatics problems.
26 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy, Biology/Biological Sciences, Doctor of Philosophy, Biology/Biological Sciences at University of AdelaideBachelor of Engineering (Computer Systems), Bachelor of Engineering (Computer Systems) at University of South Australia
Github Skills (200)
specification10
genetic10
systems-biology10
bioconda10
orange10
evolutionary10
package-management10
python10
simulate10
fm-index10
forge10
genomics10
htslib10
science10
conda10
Programming languages (16)
Github contributions (5)
grahamgower/condamage
Feb 2018 - Jun 2022
Contributions:10 pushes, 1 branch in 4 years 5 months
grahamgower/msprime
Dec 2019 - Jul 2022
A reimplementation of Hudson's classical ms simulator for modern data sets.
Contributions:62 pushes, 62 branches in 2 years 7 months
data-setsagent-based-modelingsimulationsimulatormodeling
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