Clea Siguret
I am a bioinformatics research engineer with a strong background in data science, comparative genomics, and evolutionary biology. With a Ph.D. in Bioinformatics and several years of experience in both academic and industrial environments, I specialise in developing scalable, reproducible workflows (e.g., Intergalactic Workflow Commission workflows with DOIs), integrating and deploying analysis tools, and delivering user-friendly solutions on platforms such as Galaxy. Working at the interface between biology and computing, I combine scientific expertise with operational skills in Linux systems (administration, troubleshooting), workflow automation and containerisation (Conda, Docker/Singularity), and technical documentation for end-users and developers.
I also contribute to the reliable operation of research computing environments by supporting deployment and maintenance activities (Galaxy servers, HPC/Slurm environments, data processing pipelines), implementing reproducibility and quality assurance practices (CI testing, code versioning, FAIRification), and providing training to research teams (Galaxy Training Academy, FAIR-Bioinfo, GTN tutorials). My involvement in user support, training, and workflow curation helps laboratories adopt best practices in data and software management. Curious, autonomous, and quick to learn new technologies, I thrive in collaborative environments dedicated to delivering robust, well-documented, and sustainable research services.