The rapid growth in genomic pathogen data spurs the need for efficient
i...
Probabilistic programming frameworks are powerful tools for statistical
...
Bayesian inference is a popular and widely-used approach to infer phylog...
B cell receptor sequences diversify through mutations introduced by
purp...
The human body is able to generate a diverse set of high affinity antibo...
CRISPR technology has enabled large-scale cell lineage tracing for compl...
Maximum likelihood estimators are used extensively to estimate unknown
p...
The marginal likelihood of a model is a key quantity for assessing the
e...
Bayesian Markov chain Monte Carlo explores tree space slowly, in part be...
Phylogenetic tree inference using deep DNA sequencing is reshaping our
u...
Probability estimation is one of the fundamental tasks in statistics and...
Antibodies, an essential part of our immune system, develop in an intric...