Federico Andreis
Practice Lead - Quantitative Analytics And Statistics
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolFederico Andreis is a quantitative analytics leader with 11 years of experience translating messy, cross-disciplinary data into actionable policy and program insights, currently leading Quantitative Analytics and Statistics at the Care Quality Commission. He has steered statistical methods and quality assurance teams at Nesta and held academic posts from lecturer to post-doc, bringing deep expertise in latent variable models, resampling methods, and applied evaluation. Federico combines rigorous methodological training (PhD in Statistics) with a pragmatic focus on impact, especially in designing and evaluating social interventions and processes involving emerging technologies like agentic AI. Colleagues describe him as someone who prioritises interdisciplinary collaboration and practical pathways over perfectionism, enabling data work that is both robust and usable in real-world constraints.
11 years of coding experience
3 years of employment as a software developer
Diploma di Maturità, Liceo Scientifico, Diploma di Maturità, Liceo Scientifico at Liceo Scientifico E. VittoriniPhD, Statistics, PhD, Statistics at Università degli Studi di Milano-BicoccaMaster, Statistics, 110L/110, Master, Statistics, 110L/110 at Università Cattolica del Sacro Cuore
Italian, English
Github Skills (5)
usergroup8
r-package8
causal3
fairness-ml2
machine-learning2
Programming languages (3)
Github contributions (5)
federicoandreis/causal_ml_learning
Dec 2021 - Dec 2022
Materials for the Nesta DAP Firebreak about causal machine learning / AI
Contributions:2 pushes, 1 branch in 1 year
fairness-mlcausal-machine-learningai-machine-learningfirebreakcausal
federicoandreis/uoe_teaching_interview
Mar 2021 - Mar 2021
Contributions:20 pushes, 1 branch in 4 days
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