معرفی
Andrej Aderhold is an Honorary Research Fellow in the School of Mathematics & Statistics at the University of Glasgow. His work focuses on developing advanced statistical methods for complex biological systems, with particular expertise in Bayesian inference and network modeling.
Research interests include:
- Statistical Inference: Bayesian methods, semi-mechanistic models, and thermodynamic integration.
- Computational Biology: Gene regulatory networks, multi-scale biological systems, and circadian rhythm analysis.
- Network Science: Inference of biological interactions from gene regulation to species-level dynamics.
His recent publications (2014–2019) emphasize:
- Innovations in Bayesian model selection for biological networks.
- Applications in cardiology (e.g., myocardial infarction) and chronobiology (e.g., circadian-metabolism interactions).
- Methodological advances in time-series analysis and high-dimensional inference.
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