Kris Parag

Research Associate

Imperial College London

My research lies at the intersection of stochastic theory and computational phylogenetics and will focus on the modelling of molecular evolutionary and phylodynamic processes.

Parag KV, Pybus OG (2019) Robust design for coalescent model inference. Systematic Biology In press

Hill SC, Hansen R, Watson S, Coward V, Russell C, Cooper J, Essen S, Everest H, Parag KV, Fiddaman S, Reid S, Lewis N, Brookes S, Smith, AL Sheldon B, Perrins CM, Brown IH, Pybus OG (2019) Comparative micro-epidemiology of pathogenic avian influenza virus outbreaks in a wild bird population. Philosophical Transactions of the Royal Society B In press

Parag KV, Pybus OG (2018) Exact Bayesian inference for phylogenetic birth-death models. Bioinformatics 34:3638–45

Parag KV, Pybus OG (2017) Optimal point process filtering and estimation of the coalescent process. Journal of Theoretical Biology 421:153-167

Parag KV & Vinnicombe G (2017) Point process analysis of noise in early invertebrate vision. PLOS Computational Biology 13:e1005687

Parag K & Vinnicombe G (2013) Single event molecular signalling for estimation and control. European Control Conference, pp. 4166-71

Parag K & Vinnicombe G (2013) Event triggered signalling codecs for molecular estimation. 52nd Conference on Decision and Control, pp. 256-61

Research Interests