๐ค Building bridges between biology, software engineering, data engineering and data science.
๐ฌ Transforming complex biological data into reliable, accessible and reproducible solutions.
โ๏ธ Designing and operating computational tools used daily by clinicians and biologists across clinical workflows.
I contribute to projects involving:
- ๐งฌ Clinical genomics & rare diseases
- ๐งซ Oncology and molecular diagnostics
- ๐ฆ Infectious diseases and pathogen analysis
- ๐ Multi-omics data processing and interpretation
- Designing and maintaining production-grade bioinformatics pipelines
- Developing reproducible workflows for large-scale biological data processing
- Building ETL pipelines and data systems for biomedical applications
- Automating analysis workflows to improve reliability and scalability
- Transforming complex biological datasets into actionable insights
- Designing interactive web applications for researchers, clinicians and platform users
- Building user-friendly tools that enable non-technical users to explore and analyze complex biological data
- Developing reliable interfaces and workflows around genomic and multi-omics analyses
- Deploying scientific applications in production environments
- Designing AI-assisted workflows for scientific and technical applications
- Developing and integrating LLM-based tools into real-world workflows
- Building and deploying agentic systems and automation frameworks
- Evaluating modern AI architectures for productivity and scientific applications
- Maintaining a self-hosted AI/DevOps environment (Debian servers, GPU-accelerated, Docker-based) to experiment with agentic systems, model deployment, and infrastructure automation.
Outside of coding: ๐น skateboarding ยท ๐ฟ taking care of plants ยท ๐๏ธ exploring the Alps around Grenoble
- ๐ Portfolio โ https://clbenoit.github.io/portfolio
- ๐ผ LinkedIn โ https://linkedin.com/in/clement-benoit
- ๐ซ Email โ benoitclement.data@gmail.com



