Chris Jewell
Professor In Statistics
Lancaster, England, United Kingdom
Summary
👤
SeniorChris Jewell is a Professor in Statistics at Lancaster University who blends epidemiology, computing, and Bayesian statistics to build probabilistic state-transition models for training and prediction. With 14 years of experience, he specializes in Bayesian stochastic epidemic models and Monte Carlo methods, leading the MARS section and driving data engineering initiatives within Lancaster's Data Science Institute. He mentors a multidisciplinary team of PhD students, postdocs, and research software engineers, reflecting a strong commitment to research software engineering and reproducible scientific computing. Based in Lancaster, UK, Chris combines deep theoretical expertise with practical tooling and team leadership to translate complex epidemic dynamics into actionable inference and decision support.
13 years of coding experience
Github Skills (146)
probabilistic-programming10
python10
automation10
deep-learning10
bayesian-methods10
home-assistant10
mqtt10
statistics10
ml10
neural-network10
home-automation10
data-science10
probabilistic-reasoning10
binding10
iot10
Programming languages (9)
Github contributions (5)
chrism0dwk/infer
Jun 2012 - Jul 2015
Contributions:3 releases, 37 commits, 42 pushes in 3 years 2 months
chrism0dwk/probability
Jan 2021 - Jul 2024
Probabilistic reasoning and statistical analysis in TensorFlow
Contributions:1 PR, 14 pushes, 7 branches in 3 years 7 months
pythonprobabilistic-reasoningdataminingstatisticalmachine-learning
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.