Patricia Ryser-welch is a Senior Data Analyst and AI/A&I specialist based in Newcastle upon Tyne with seven years of focused experience in data science, distributed computation, and privacy-preserving analytics. She combines academic rigor—holding a PhD and a history of published research—with hands-on engineering skills in R, Python and Java, having implemented privacy-aware distributed algorithms for medical data science. Currently at the Cabinet Office and an associate lecturer at The Open University, she blends policy-facing data work with teaching and course leadership in machine learning and data science. Her background spans senior data architecture roles and applied research fellowships, giving her a rare fluency across production systems, research prototypes and pedagogy. Notably, she has explored matrix-homomorphic encryption and DataSHIELD-style platforms to enable non-parametric distributed statistics without compromising privacy. Colleagues know her for translating complex privacy‑constrained research into practical tools and curriculum that scale across institutions.
7 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at The Open University
Doctor of Philosophy (PhD) Intelligent systems - Electronic engineering, Doctor of Philosophy (PhD) Intelligent systems - Electronic engineering at University of York
Cert-ed of Education Education, Cert-ed of Education Education at University of Sunderland
Diplome d’informatique the gestion (equivalent to a first degree without honours) Information Technology, Diplome d’informatique the gestion (equivalent to a first degree without honours) Information Technology at ENIG
HE foundation Course Human biology Biology General, HE foundation Course Human biology Biology General at Northumbria University
R library to provides tools to connect to a DataSHIELD server
Contributions:148 commits, 60 PRs, 151 pushes in 2 years
r-packagerstatsdatashield
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