Dean Sumner is a Senior Data Analytics Engineer with 8 years of experience translating complex scientific and financial models into production-grade, cloud-native Python solutions. He has a strong background in probabilistic AI and deep learning applied to real-world biological and clinical datasets, and now drives migrations to Google Cloud and Vertex AI while modernising model governance and data asset lifecycle at Lloyds Banking Group. His work spans generative models, graph neural networks, Bayesian inference and optimisation for digital decisioning, reflecting a rare blend of research-grade modelling and pragmatic engineering. Trained at ETH Zürich and the University of Sussex, he pairs domain expertise in bioinformatics with hands-on experience converting legacy SAS and Excel workflows into scalable, monitored ML systems. An understated strength is his track record of improving model reproducibility and access patterns across organisations, turning exploratory science into auditable, production-ready analytics.
8 years of coding experience
5 years of employment as a software developer
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at University of Sussex
Master's degree Probabilistic AI, Master's degree Probabilistic AI at ETH Zürich
Contributions:4 reviews, 138 commits, 14 PRs in 1 month
pythondata-sciencemachine-learninggenomicseth
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