Summary
Louise Bowler is a Senior Research Software Engineer with 12 years of interdisciplinary experience spanning physics, computer science, biology and mathematical modelling, and a DPhil in Computational Biology from the University of Oxford. She builds robust, production-ready research software and data platforms—recently delivering Python-driven dashboards and analytical tools for the UK Ministry of Justice and developing reproducible research infrastructure at the Alan Turing Institute. Comfortable in both research and operational environments, she combines scientific rigour with practical DevOps skills (Docker, Kubernetes, AWS, Terraform) to move analytic prototypes into reliable services. Louise is also committed to community-building and reproducibility best practices, having contributed to The Turing Way and led training and upskilling efforts for colleagues new to Python. Notably, her work connects mechanistic computational modelling (e.g., cardiac simulations) with scalable data engineering, giving her a rare ability to translate complex scientific questions into maintainable software.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Computational Biology), Doctor of Philosophy - PhD, Computer Science (Computational Biology) at University of Oxford
MSci, Physics, MSci, Physics at Imperial College London