Microbial Genomics
Genome analysis, comparative genomics, microbial genetic variation, and genome-scale investigation of microorganisms.
I work at the intersection of experimental molecular biology and computational biology, with research interests spanning microbial genomics, transcriptomics, metagenomics, microbial ecology, plant–microbe interactions, and bioinformatics software development.
I am a molecular biologist and bioinformatician working at the intersection of microbial genomics, transcriptomics, metagenomics, microbial ecology, and plant–microbe interactions.
My research combines experimental molecular biology with computational approaches to investigate microbial systems, biological interactions, and high-throughput sequencing data.
I am particularly interested in developing reproducible, transparent, and accessible bioinformatics approaches that connect biological questions with genomic and transcriptomic data analysis.
Alongside biological research, I develop open-source computational tools intended to make complex analyses more reproducible and accessible to researchers.
My work spans computational and experimental approaches to understanding microorganisms, their genomes, their transcriptional activity, and their interactions with hosts and environments.
Genome analysis, comparative genomics, microbial genetic variation, and genome-scale investigation of microorganisms.
Gene-expression analysis, bacterial transcriptomics, RNA-seq workflows, quantification, and interpretation of transcriptomic data.
Sequencing-based characterization of microbial communities, their diversity, composition, and functional potential.
Molecular and ecological investigation of interactions between plants and associated microorganisms.
Microbial diversity, community structure, environmental interactions, and ecological processes shaping microbial systems.
Development of reproducible computational tools and workflows for genomic and transcriptomic data analysis.
I develop research software that combines biological context with reproducible computational analysis.
BOTAS is an open-source bioinformatics toolkit designed for bacterial RNA-seq analysis. It provides an integrated workflow for reference indexing, read alignment, gene-level quantification, and operon inference, with particular consideration for the structure of circular bacterial genomes.
Publications, citation information, researcher identifiers, and open-source projects are available through the profiles below.
My CV provides further information on my academic background, research experience, publications, computational expertise, scientific software development, teaching, professional experience, and research collaborations.
I welcome communication regarding research collaboration, bioinformatics, microbial genomics, transcriptomics, metagenomics, plant–microbe interactions, and open-source scientific software.
For research discussions, collaboration opportunities, or questions about my work, please feel free to contact me by email or through the academic and developer profiles listed here.