Kris Parag
MRC Career Development Award Fellow at University of Bristol
Greater Oxford Area United Kingdom
Summary
👤
Senior🎓
Top SchoolKris Parag is an MRC Career Development Award Fellow and research group leader in Epi-Engineering at Imperial College London, combining a decade of experience in control and aerospace engineering with infectious disease modelling. He develops "smart models" that fuse control theory, information theory and phylodynamics to improve forecasting and feedback-based intervention design from individuals to populations. His multidisciplinary work spans stochastic processes, biostatistics, queueing and noise processes, reflecting a rare blend of theoretical rigor and practical epidemic response. Prior roles at Oxford, Cambridge and Bristol underpin strong expertise in parametric inference for coalescent and birth-death models and experimental design for phylodynamics. Kris routinely translates control-engineering approaches into public-health tools, aiming to adapt interventions in real time during fast-changing pandemics. Outside academia he signals his focus succinctly as "Engineering epidemics" across GitHub and social channels, highlighting a clear public-facing commitment to applied epidemiological engineering.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Control Theory/Engineering, Doctor of Philosophy - PhD, Control Theory/Engineering at University of CambridgeMaster of Engineering (MEng), Aerospace, Aeronautical and Astronautical Engineering, Master of Engineering (MEng), Aerospace, Aeronautical and Astronautical Engineering at The University of Sheffield
English, spanish - up to o levels
Github Skills (6)
bayesian10
infectious-diseases10
filtering9
curve9
sustainability8
python6
Programming languages (2)
Github contributions (5)
kpzoo/EpiFilter
Aug 2020 - Sep 2022
Optimised estimates of reproduction numbers over time, which extract more information from an incidence curve than many conventional approaches
Contributions:85 commits, 9 PRs, 78 pushes in 2 years
pythonconventionalreproductionpredictionsincidence
kpzoo/model-selection-for-epidemic-renewal-models
Nov 2019 - Feb 2021
Contributions:19 commits, 18 pushes, 2 branches in 1 year 3 months
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