Imperial College London

Dr Kris V Parag

Faculty of MedicineSchool of Public Health

MRC- Imperial College Skills Development Research Fellow







Wright Fleming WingSt Mary's Campus





My research is highly multidisciplinary and uses ideas from statistics and control engineering to obtain a sharper and more rigorous understanding of biological processes. In particular, I have applied stochastic, information, queueing, estimation and control theory to uncover new insights into molecular biology, epidemiology and invertebrate neuroscience. My current work looks at developing new models for epidemic transmission and control, which justifiably trade complexity with reliability.



Parag K, Du Plessis L, Pybus O, Jointly inferring the dynamics of population size and sampling intensity from molecular sequences, Molecular Biology and Evolution, ISSN:0737-4038

Parag KV, Donnelly CA, 2019, Optimising Renewal Models for Real-Time Epidemic Prediction and Estimation

Parag KV, 2019, On signalling and estimation limits for molecular birth-processes, Journal of Theoretical Biology, Vol:480, ISSN:0022-5193, Pages:262-273

Parag KV, Pybus OG, 2019, Robust Design for Coalescent Model Inference, Systematic Biology, Vol:68, ISSN:1063-5157, Pages:730-743

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