Christine Martindale is a data scientist and machine learning specialist with 11 years’ experience applying ML to energy and biomedical domains, currently working at The Mobility House Energy. She combines a PhD in computer science and hands-on expertise in time-series sensor analytics—event detection, segmentation and anomaly detection—with practical product delivery as a scrum master and product owner. Her career spans international, interdisciplinary projects (including Bavarian and EU-funded work) and she is comfortable owning the full pipeline from data cleaning and documentation to production models. A former gait-analysis PhD researcher, she brings semi-supervised learning and segmentation techniques from biomedical research into renewable energy use cases, enjoying both scientific writing and supervising students. Known for turning diverse datasets into actionable insights, she thrives on the big-picture view that connects technical models to real-world impact.
11 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Electrical and Electronics Engineering, Awarded, Master of Science (MS), Electrical and Electronics Engineering, Awarded at University of Cape Town
Master of Science (MSc), Biomedical/Medical Engineering, Distinction, Master of Science (MSc), Biomedical/Medical Engineering, Distinction at Imperial College London
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Erlangen-Nuremberg
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