I'm Anicet, a bioinformatician and biostatistician with a dual PhD, based in Côte d'Ivoire 🇨🇮. I currently hold an Assistant Professor position at Institut National Félix Houphouet-Boigny (INP-HB). My doctoral work sits at the intersection of computational biology and statistical modeling and I spend most of my time thinking about how to extract meaningful biological signal from complex, noisy data. My graduate education was pursued at INP-HB, where I received an Engineering degree in Crop Protection and a BS in Agronomy.

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

I am currently more focused on Bayesian hierarchical modeling and statistical software development with upcoming public projects.

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:

• xgt: Efficient and fast querying and parsing of GTDB taxonomic data
• sabreur: Fast and reliable demultiplexing tool for fastx files
• hkgfinder: HMM-based housekeeping gene finder for prokaryotic (meta)genomic data
• hyperex: Hypervariable region primer-based extractor for 16S rRNA and other SSU/LSU sequences
• chaoscoder: Block-based integer chaos game representation for DNA sequences
• cedar: Rapid neighbor-joining tree construction from sequences using mash distance

Outside of research and software, I am involved in agricultural technology education at the INPHB Fab Lab, where I contribute to the design of smart connected greenhouse systems for student training. I enjoy the challenge of building things that work well in resource-constrained environments, whether that is a CLI tool that runs fast on modest hardware, or a model that gives honest uncertainty estimates on small field datasets.

You can find more about my work at ebedthan.github.io or reach me at anicet.ebou@gmail.com.