I am a computational epidemiologist at the Johns Hopkins University working under the CDC Center for Forecasting Analytics’ Insight Net initiative. I obtained my PhD in the Mathematical Modelling of Infectious Diseases at Imperial College London. I work primarily on respiratory infectious diseases with interest in real-time forecasting using deep learning models and Bayesian inference of transmission trees using genetic, epidemiological and contact data.
A statistical framework to compare sets of transmission trees
Methods for comparing collections of graphs to test whether they originate from the same or different generative processes.
Infer group-level assortativity from transmission trees
A novel framework for estimating group transmission assortativity, quantifying how transmission patterns vary across different population groups.
Helper functions for the outbreaker2 R package
Tools to analyse and visualise Bayesian inference of transmission chains with outbreaker2.
Tools to time pipe operations in R
Measure elapsed time in R pipelines. Works seamlessly with native R pipe (|>) and tidyverse workflows.
Email me at [email protected]