Update: Marco Pinto and Hernando Ombao made a much nicer interface to the model, which I recommend instead of my original version (still linked below). As a follow up to this series of posts, I’ve created a version of the model that you can experiment with on your own, without needing to know any… *Read more*

This is my fourth post on modeling the Coronavirus epidemic. I recommend starting with the first post and reading them in order. So far, we’ve learned about the SIR model and used available data combined with the model to predict the epidemic. We’re now going to detour into some additional mathem… *Read more*

Welcome to the third post in my series on modeling the Coronavirus pandemic. In the first and second posts, we introduced the SIR model and used the available data to estimate the model parameters, in the absence of any mitigation (i.e. with no social distancing, quarantine, etc.). In this post w… *Read more*

Welcome back! In the first post of this series, we learned about the SIR model, which consists of three differential equations describing the rate of change of susceptible (S), infected (I), and recovered (R) populations: [\begin{align*} & = -I \ \frac{dI}{dt… *Read more*

**David I. Ketcheson**

I am an associate professor of applied mathematics at King Abdullah University of Science and Technology (KAUST), where I lead the Numerical Mathematics Group.

My research involves analysis and development of numerical methods for integration of ordinary and partial differential equations, as well as the implementation of such methods in open source, accessible, high performance software and its application to understanding behavior of nonlinear waves in heterogeneous materials.

- Office: 4202 Al-Khawarizmi Building
- Email & online networks: linked from icons below.