Code for
SCIENCE
Data and science go hand-in-hand, and as we see an increased focus on open science and reproducibility, data has never been more important. We have access to more data than ever before, but processing such large amounts remains a core problem for scientists. You need custom software, coding skills, and infinite time, which, let’s be honest, is pretty unrealistic.
Pandion takes some of that pressure away. Drawing from our background in research and coding, we provide research software engineering (RSE) to transform your scientific code for the better. We improve the reliability, speed, quality, and reproducibility of your code, helping to bridge the gap between your scientific research and the latest innovations in software engineering.
There are concrete ways that we can bring your research to the next level:
- Correctness. We ensure that your code is doing what is supposed to do, using engineering best practices to identify and remove bugs.
- Sharing. We package your research code in a way that is easily understandable by others, it is straightforward to reproduce the results and build on top of them
- New Tools. Enable you to use state-of-the-art software and models, opening new opportunities for your research and optimizing your workflow.
Our Toolkit
Those are the techniques we use to bring better software to your research:
- Package and clean your code for publication
- Write tests to automatically identify bugs
- Produce comprehensive documentation
- Improve efficiency and speed
- Structure your code so it's easy to maintain in the long-term
- Provide support with data analysis, modelling, statistics, and machine learning
- Create beautiful and accessible data visualisations and websites
The Pandion Labs difference
At Pandion Labs, we are a team of data scientists, software engineers, ecologists, and researchers building end-to-end solutions to inform sustainability projects, from raw data processing to dissemination. Our primary focus areas are precision forestry, biodiversity monitoring, and quantitative ecology.
Experience
- We bring over three decades of combined scientific and industry experience, as well as software engineering and data science skills.
- We can relate to your scientific experience, and we have the business savvy and tech background to supercharge your projects from start to finish.
- As a small team, we can provide our clients and partners with one-on-one, personalized solutions that fit your needs.
Values
- Science and sustainability first. We practice scientific integrity and incorporate scientific methods at every opportunity. We only work with partners that share our commitment to sustainability.
- Honesty. We don’t shy away from complexity. We commit to being transparent about time planning and statistical uncertainty of the results.
- Rigour. We ensure that our work is conducted with precision and thoughtfulness to maintain the highest standards of quality.