Martin Schlather is a distinguished data scientist and Full Professor of Applied Stochastics at Universität Mannheim, combining leading-edge statistical research with industry impact as a Data Scientist at adacon GmbH since 2019. His work spans computational statistics, extreme value theory, geostatistics, and quantitative genetics, with affiliations to the Center for Integrated Breeding Research (CiBreed) at Göttingen. He translates rigorous stochastic modeling into practical analytics for marketing, time series, spatial statistics, neural networks, and support vector machines, and teaches a wide curriculum from bioinformatics to quantum computing. Based in Mannheim, he has led cross-disciplinary initiatives that bridge academia and industry. His profile reflects a rare blend of theoretical depth and hands-on data science, connecting advanced statistics with real-world applications in biology, agriculture, and marketing.
13 years of coding experience
5 years of employment as a software developer
Habilitation, Mathematics, Habilitation, Mathematics at TU Bergakademie Freiberg
Vordiplom, Mathematics, Vordiplom, Mathematics at Universität Stuttgart
Diplom, Mathematics, Diplom, Mathematics at Universität Bayreuth
D.E.A., Géostatistique, D.E.A., Géostatistique at Ecole des Mines de Paris
:exclamation: This is a read-only mirror of the CRAN R package repository. RandomFields — Simulation and Analysis of Random Fields. Homepage: http://ms.math.uni-mannheim.de/de/publications/software/randomfields
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