Christina Boididou is a Principal Data Scientist at BBC Datalab with 12 years’ experience applying machine learning and data engineering to real-world media problems. She has progressed through multiple data science roles at the BBC, focusing on recommender systems and NLP, and brings prior research experience in social media content verification and computer vision. Her background in Electrical and Computer Engineering underpins a pragmatic approach to building production-ready ML solutions using Python, TensorFlow, and scalable databases. Christina combines research rigor with product-driven delivery, often translating academic techniques into practical tools for editorial and audience teams. Based in Glasgow, she’s equally comfortable prototyping novel models and shepherding them into production pipelines.
12 years of coding experience
8 years of employment as a software developer
Master's Degree Electrical and Computer Engineering, Master's Degree Electrical and Computer Engineering at Aristotle University of Thessaloniki (AUTH)
A framework for "learning" how to classify social content as truthful/reliable or not.
Contributions:11 commits in 10 months
classifypythonmachine-learningreliable
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