
Michael Habeck
Professor · Bayesian Methods
Max Planck Institute for Multidisciplinary SciencesGermany
About
Michael Habeck is a Professor at the University of Jena and an MPI-NAT Fellow specializing in computational methods for statistical inference and scientific data analysis applied to structural biology and biophysics. His research focuses on the development of the Inferential Structure Determination (ISD) framework, which uses Markov chain Monte Carlo simulations to derive macromolecular structures from NMR, cryo-EM, and other structural data.
- Broad research areas include Bayesian computation, dynamic biological systems, and image processing for structural biology.
- Current projects involve advancing tools for modeling protein complexes and chromosomes, as well as developing general algorithms for Bayesian inference.
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