🤝 Building bridges between biology, software engineering, data engineering and data science.
🔬 Transforming complex biological data into reliable, accessible and reproducible solutions.
⚙️ Designing and operating computational tools used daily by clinicians and biologists across clinical workflows.
I contribute to projects involving:
- 🧬 Clinical genomics & rare diseases
- 🧫 Oncology and molecular diagnostics
- 🦠 Infectious diseases and pathogen analysis
- 📊 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: 🛹 skateboarding · 🌿 taking care of plants · 🏔️ exploring the Alps around Grenoble
- 🌐 Portfolio → https://clbenoit.github.io/portfolio
- 💼 LinkedIn → https://linkedin.com/in/clement-benoit
- 📫 Email → benoitclement.data@gmail.com



