معرفی
Prof. Michael Habeck is a faculty member at the University of Göttingen, specializing in structural biology and computational methods. His research focuses on cryo-EM data analysis, molecular modeling, and integrating machine learning for biomedical applications.
- Advisor to 10+ PhD theses (2016–2023)
- Expertise in cryo-EM structure determination and validation
- Develops probabilistic models for dynamic proteins and change-point detection algorithms
His work bridges structural biology with computational innovation, enabling high-resolution analysis of macromolecular complexes and advancing diagnostic tools via machine learning. Recent projects include CRISPR-edited cardiomyocyte models and super-resolution microscopy techniques.
Key research areas span:
- Structural Biology: Cryo-EM, protein conformational changes
- Computational Methods: Bayesian modeling, tomography algorithms
- Machine Learning: Cardiac disease prediction, genomic data analysis
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