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 KV, Donnelly CA, 2021, Fundamental limits on inferring epidemic resurgence in real time

Parag KV, 2021, Improved estimation of time-varying reproduction numbers at low case incidence and between epidemic waves, Plos Computational Biology, ISSN:1553-734X, Pages:e1009347-e1009347

Kraemer MUG, Hill V, Ruis C, et al., 2021, Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence, Science, Vol:373, ISSN:0036-8075, Pages:889-895

Parag K, 2021, Sub-spreading events limit the reliable elimination of heterogeneous epidemics, Journal of the Royal Society Interface, Vol:18, ISSN:1742-5662, Pages:1-10

Parag KV, Pybus OG, Wu C-H, 2021, Are skyline plot-based demographic estimates overly dependent on smoothing prior assumptions?, Systematic Biology, ISSN:1063-5157

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