
About
Markus Maucher is a Subject Advisor in the Department of Computer Science at the University of Ulm. He has taught exercises for courses like Einführung in die Informatik I (EidI 1) and Einführung in die Informatik II (EidI 2) across multiple semesters from 2004 to 2022. His research focuses on Computational Biology, Boolean Networks, and Ant Colony Optimization, with applications in Machine Learning, Gene Expression Analysis, and Evolutionary Algorithms.
His publications span journals such as Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, and Computational Statistics, as well as conferences like the Genetic and Evolutionary Computation Conference. He holds a PhD in Computer Science, evidenced by his 2009 dissertation and subsequent book on non-perfect randomness in probabilistic algorithms. Maucher has collaborated with researchers including H.A. Kestler, U. Schöning, and C. Müssel.
The keywords from his recent work include Computational Biology, Boolean Networks, and Algorithm Design. His sub-fields encompass Probabilistic Algorithms, Correlation Analysis, and Feature Selection.
Contact details: markus.maucher@uni-ulm.de
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