Statistical and computational approaches to enable real-time phylodynamic inference KU Leuven
The current wealth of sequence data for most important infectious diseases is stretching current computational approaches, such as phylodynamic inference, to their practical limits. This project aims to develop statistical and computational approaches to extract timely epidemiological and evolutionary information from virus genome sequences during an ongoing epidemic. Reconstructing pathogen spread from genetic data as they become available ...