Since its formation in January 2020, I have been working in the CMMID COVID-19 working group, on various aspects of the pandemic. A few examples include: estimating the true numbers of cases and infections worldwide, early severity estimates, estimates of the proportion of asymptomatic infections and more recently, assessing the efficacy of different testing strategies. Since joining the school, I have become extremely interested in Bayesian inference methods, and way of using them in almost all of our work, the incredible domain-specific languages that exist to perform such inferences (Stan, LibBi, etc)