Anoop Shah

Associate Professor

England, United Kingdom
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Summary

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Senior
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Top School
Anoop Shah is an Associate Professor at UCL Institute of Health Informatics and an honorary consultant in clinical pharmacology and general medicine, combining 12 years of clinical and academic experience. He splits his time between patient care at UCLH and research that improves the structure, coding and usability of diagnoses in electronic health records, with expertise spanning epidemiology, information standards and clinical natural language processing. His work bridges practical hospital workflows and informatics research, aiming to make routine data more reliable for care and research. Trained in medicine (MB BS) and medical statistics (MSc, LSHTM), he brings a rare mix of hands-on clinical insight and quantitative rigour to health-records problems. Anoop’s background includes health informatics fellowship roles and long-term involvement with clinical research databases, giving him deep practical knowledge of how recording practices affect downstream data quality.
code12 years of coding experience
job8 years of employment as a software developer
bookMaster of Science (MSc), Medical Statistics, Master of Science (MSc), Medical Statistics at London School of Hygiene and Tropical Medicine, U. of London
bookUniversity College London
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Github Skills (15)

r-package9
archived6
r6
pipeline5
lists5
data-processing4
data-cleaning4
big-data3
etl3
survival3
unconf3
natural-language-processing2
data-pipeline2
nlp2
reproducible-research2

Programming languages (2)

RPython

Github contributions (5)

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anoopshah/Rdiagnosislist

Nov 2019 - Dec 2022

Contributions:2 releases, 1 review, 18 commits in 3 years
r-packagerstatslistsproblemdiagnosis
Contributions:26 pushes in 5 years 8 months
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Anoop Shah - Associate Professor