Chris Musselle is a Data Scientist with 14 years of multidisciplinary experience spanning chemistry, bioinformatics, mathematics and a decade focused on computer science and Python-driven solutions. Currently at Malvern Panalytical, he combines research, software development and DevOps to deliver reproducible data pipelines and analysis for scientific instrumentation. An experienced programmer and problem solver, he is fluent in Python and comfortable across R, SQL and Linux, with a track record of practical contributions to open-source tooling—such as adding a TinyDB observer to the widely used Sacred experiment-tracking library. Chris’s academic foundation (MSci Chemistry, First Class Honours) informs a pragmatic approach to complex scientific problems, and he maintains active interests in machine learning, sustainability and DIY self-sufficiency. Colleagues rely on him as the resident Python expert who translates research needs into robust, production-ready systems.
14 years of coding experience
A Levels, A Levels at The Henley College
MSci, Chemistry, First Class Honours, MSci, Chemistry, First Class Honours at University of Bristol
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Role in this project:
Back-end Developer
Contributions:36 commits, 1 PR, 4 comments in 26 days
Contributions summary:Chris primarily contributed to the development of a TinyDB observer for the Sacred experiment tracking tool. Their work involved implementing a TinyDB observer with file serialization for data storage, including support for datetime objects, NumPy arrays, and Pandas DataFrames. The user also added tests to verify the functionality of the observer.
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