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Unger, Michael
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ETH Zürich
Phone: +41 44 632 04 36 |
MY PROJECT
In the reverse engineering of systems, dynamic input perturbations are an important tool across various disciplines. In my PhD project I am developing novel methods to design and apply optimal perturbations to make live cell experiments more informative for a systems level analysis. This includes methods for designing temporal input sequences and data analysis, mainly using Bayesian methods, as well as the development of novel micro-fluidic devices to study signaling pathways.
I am a PhD student in Heinz Koeppl's BISON Group at the Automatic Control Laboratory and the Group of Matthias Peter at the Institute of Biochemistry at ETH Zurich.
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