Rohan Arambepola
Senior Data Scientist
Stony Stratford, England, United Kingdom
Summary
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Senior🎓
Top SchoolRohan Arambepola is a Senior Data Scientist with nine years of experience applying Bayesian and machine learning methods to infectious disease and mobility data, currently working at iwoca after a Johns Hopkins postdoc. He specialises in Bayesian geospatial modelling and latent MCMC approaches, having mapped malaria risk during a DPhil at Oxford and built predictive models of measles vaccination coverage and COVID-19 mobility impacts. Rohan has a track record of translating complex statistical models into policy-relevant outputs—co-developing tools like the disaggregation R package and advising ministries on vaccination outreach in Zambia. Comfortable bridging research and deployment, he has taught and designed courses, co-supervised students, and shipped applied ML for public transport at Prospective.io. An affinity for scalable, non-parametric causal discovery complements his strong foundation in mathematics from Imperial College.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Applied Statistics, Doctor of Philosophy - PhD, Applied Statistics at University of OxfordMSci, Mathematics, 1st, MSci, Mathematics, 1st at Imperial College LondonProgramming languages (2)
Github contributions (5)
rarambepola/Prevalence-Madagascar
Aug 2020 - Mar 2022
Contributions:34 commits, 31 pushes, 1 branch in 1 year 7 months
rarambepola/Spatial-Modelling-Examples
Apr 2017 - Jan 2019
Contributions:5 pushes, 1 branch in 1 year 9 months
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