Rahil Sachak-Patwa
Industrially Focussed Mathematial Modelling CDT
Address
Mathematical Institute
University of Oxford
Andrew Wiles Building
Radcliffe Observatory Quarter
Woodstock Road
Oxford
OX2 6GG
MT 2018: Supplementary Applied Mathematics (MMSC) TA
HT 2018: Nonlinear Systems (Part B) TA
R. Sachak-Patwa, H.M. Byrne, L. Dyson, and R.N. Thompson. "The risk of SARS-CoV-2 outbreaks in low prevalence settings following the removal of travel restrictions." Communications Medicine 1.1 (2021): 1-9.
R. Sachak-Patwa, H.M. Byrne, and R.N. Thompson. "Accounting for cross-immunity can improve forecast accuracy during influenza epidemics." Epidemics (2020): 100432.
R. Sachak-Patwa, N.T. Fadai, and R.A. Van Gorder. "Understanding viral video dynamics through an epidemic modelling approach." Physica A: Statistical Mechanics and its Applications 502 (2018): 416-425.
R. Sachak-Patwa, N.T. Fadai, and R.A. Van Gorder. “Modelling multi-group dynamics of related viral videos with delay differential equation”. Physica A: Statistical Mechanics and its Applications 521 (2019): 197-217.
R. Sachak-Patwa, N.T. Fadai, and R.A. Van Gorder. “A Homogenisation Approach for the Roasting of a Collective of Coffee Beans”. SIAM Journal of Applied Mathematics 79(4) (2019): 1550-1580.
I am a mathematical modeller interested in population dynamics, and in particular, epidemiology. My DPhil involved formulating mathematical models to describe and forecast both the spread of infectious diseases including Influenza and COVID-19 throughout a population, and the evolution of disease severity wihin an individual. My previous work includes modelling the roasting of coffee beans for my InFoMM Mini Project, and the popularity of viral videos using an epidemic model for my Masters thesis.