About Me
I am a data scientist (and biochemist), and leader of the Preclinical Data Science group at the Institute for Laboratory Animal Science at Hannover Medical School (MHH), where I specialise in the intersection of artificial intelligence, statistics, and translational laboratory animal/veterinary research.
My research focuses on developing data-science-driven solutions for quantitative severity assessment in animal research. A major achievement has been the RELSA (Relative Severity Assessment) score, which has also been adapted for pediatric care as the Patient Vital Score (PVS). I apply AI and statistical methods to support regulatory processes, experimental design, and the 3Rs principles in preclinical research.
Research Interests
- Severity Assessment: Multidimensional scoring algorithms (e.g., RELSA) for objective burden quantification
- AI in Regulatory Science: LLM-assisted evaluation and optimization of animal experiment applications
- Clinical Translation: From animal welfare scores to human ICU monitoring (Patient Vital Status)
- Experimental Design: Bayesian sample size planning and multi-center reproducibility validation
- 3Rs & Alternative Methods: Data-driven reduction strategies and organoid model validation
Current Position
Group Leader, Preclinical Data Science Institute of Laboratory Animal Science Hannover Medical School (MHH) Hannover, Germany
Affiliations
- Co-founder, GMDS Working Group “AI in Research”
- Member, Gesellschaft für Biochemie und Molekularbiologie (GBM)
- Member, Deutsche Gesellschaft für Gentheratpie (DG-GT)
- Vivid Contributor to the 3R-Competence Network NRW
- PI, R2N Research Network
- PI, FOR2591
Education
Habilitation in Data Science (PD) | Hannover Medical School (GER) | 2025
Dr. rer. nat. | Leibniz University Hannover (GER) | 2009
Diploma in Biochemistry | Leibniz University Hannover (GER) | 2006
Contact
Feel free to reach out if you’re interested in collaboration or have questions about my work.
- Email: info@talbot-science.de