Hello! I'm Anicet.

I currently hold an Assistant Professor position at Institut National Félix Houphouet-Boigny (INP-HB, Côte d'Ivoire 🇨🇮). My research work sits at the intersection of computational biology and statistical modeling.

I spend most of my time thinking about how to extract meaningful biological signal from complex, noisy data.

My research interests include Bayesian hierarchical modeling, bioinformatics/statistical software development and some Ecology.

I write most of my tools in Rust for performance and reliability, and in R and Python for statistical and ecological workflows.

Some of the tools I have developed and maintain are highlighted below:

• cedar: Uncertainty-aware distance-based phylogenomics from Mash sketches
• hkgfinder: HMM-based housekeeping gene finder for prokaryotic (meta)genomic data
• xgt: Fast and flexible GTDB querying from the command line, built in Rust

I have also written some books on probabilistic programming and Bayesian modeling:

• Modern Analysis of Variance: A book to master the analysis of variance in the modern context with R code.
• Writing Statistical Models in Stan: A book to master Bayesian modeling with Stan.

Outside of research and software, I am involved in agricultural technology education at the INPHB AgriTech's Fab Lab. I enjoy the challenge of building things that work well in resource-constrained environments.

You can find more about my work at ebedthan.github.io or reach me by email.