Dr. Alexandre Borrel
A friendly, detail-oriented, and engaging team player and leader, adept at inspiring teams to achieve their best. A multi-tasking PhD-level Cheminformatician specializing in the application of modern AI, including deep learning and generative models, for toxicology. Possesses extensive expertise in QSAR modeling, analysis of high-throughput screening data, and the development of scientific software and web applications, complemented by strong project and team management capabilities.
Developed and Maintained Web tools
Skills
Data science & AI/ML
- Supervised and non-supervised modeling
- Imputation modeling
- Data visualization
- Agentic development
- Deep learning
- Feature engineering
- Machine learning
Programming and web development
- Python (NumPy, scikit-learn, TensorFlow, …)
- R
- Ruby
- Full-stack development
- Database management (SQL, PostgreSQL)
- Django / Ruby on Rails
Management
- Project Management
- Conflict resolution
- Leadership
- Problem solving
- Strategic planning
- Time management
Cheminformatics
- Molecular dynamics (GROMACS, Schrödinger)
- Docking (Glide, AutoDock Vina)
- Computational high-throughput screening
- PBTK/PBPK
- Chemical space modeling
- QSAR modeling