Christian Tientcha Happi

Delphy provides a fast, scalable Bayesian phylogenetic analysis tool for outbreak tracking, achieving 1,000x speedups while maintaining state-of-the-art accuracy.

The paper uses genomic analysis to show the Rwanda MVD outbreak originated from a single zoonotic event with limited human-to-human transmission.

The paper reports the first genomic characterization of RHDV2 in sub-Saharan Africa using metagenomic sequencing and identifies genetic diversity in GI.2 strains.

This paper develops CRISPR-Cas13a-based diagnostics for real-time detection of Ebola and Lassa viruses in field settings, demonstrating sensitivity and usability in clinical samples.

This study analyzes the pan-genome of Mycobacterium africanum and related lineages to explore their evolutionary dynamics and geographic distribution.

The paper uses metagenomic sequencing to identify a yellow fever outbreak in Edo State, Nigeria, from undiagnosed fever cases.

The paper introduces CATCH, a method for designing compact and scalable probe sets to enhance metagenomic sequencing sensitivity, demonstrating improved viral genome recovery and diversity preservation.