Karla Diazordaz
Professor at UCL
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKarla Diazordaz is a methodological biostatistician and professor based in London with eight years of focused experience in causal inference, missing data, applied machine learning, health economics, clinical trials, and Bayesian methods. She has progressed through academic ranks at the London School of Hygiene & Tropical Medicine and UCL, combining rigorous mathematical training (PhD, Imperial College) with practical expertise in multiple imputation and causal methods. Her work bridges theory and practice, advising on complex trial designs and health-economics evaluations while developing reproducible analytic workflows. Known for bringing advanced statistical thinking to interdisciplinary teams, she translates sophisticated methodology into actionable insights for clinical and policy contexts. Beyond publications and teaching, she maintains an applied orientation—exploring machine learning tools to enhance causal analyses rather than as an end in itself.
8 years of coding experience
5 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at Imperial College LondonMaters of Science, Medical Statistics, Maters of Science, Medical Statistics at London School of Hygiene and Tropical Medicine, U. of LondonGithub contributions (5)
KDiazOrdaz/IntroCML_workshop
May 2021 - Jun 2022
Contributions:12 commits, 2 PRs, 7 pushes in 1 year
Contributions:5 commits, 3 pushes, 1 branch in 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.