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Till Bretschneider is a Professor at the University of Warwick, involved in research on image-based modeling of cellular dynamics. His work employs a wide range of machine learning techniques, focusing on extending methods for analyzing 3D time series data, with particular emphasis on fast lattice light sheet microscopy and neural networks for feature extraction and generative modeling. His primary research interest includes understanding the principles of self-organization in the actin cytoskeleton that drives shape changes in animal cells, particularly through studies of cell motility in the model organism Dictyostelium amoebae. His research encompasses multiple aspects including modeling macropinocytosis, smart microscopy innovations, graph neural networks, and generative adversarial networks to enhance biological data analysis. He is also active in various funded projects that explore the complexities of cellular biological systems, collaborating with both academic colleagues and industry partners.
University of Warwick • Coventry, United Kingdom
Leading research in cellular dynamics and machine learning applications in biology.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.