Martin Schlather
Data Scientist
Mannheim, Baden-Württemberg, Germany
Summary
👤
Senior🎓
Top SchoolMartin Schlather is a data scientist and Full Professor of Applied Stochastics at Universität Mannheim with over a decade of experience bridging academic research and industry practice at adacon GmbH. His work spans computational and extreme value statistics, geostatistics, spatial modelling, and quantitative genetics, with applications ranging from marketing mathematics to insurance and bioinformatics. He teaches a broad spectrum of technical courses—from R and C to neural networks, support vector machines and even quantum computing—reflecting a rare combination of deep theoretical grounding and practical programming skills. Affiliated with CiBreed in Göttingen, he brings interdisciplinary insight into breeding research and spatial soil physics informed by a PhD and habilitation in mathematics. Colleagues value his ability to translate advanced stochastic theory into concrete analytics and software solutions for real-world problems.
13 years of coding experience
5 years of employment as a software developer
Habilitation, Mathematics, Habilitation, Mathematics at TU Bergakademie FreibergVordiplom, Mathematics, Vordiplom, Mathematics at Universität StuttgartDiplom, Mathematics, Diplom, Mathematics at Universität BayreuthD.E.A., Géostatistique, D.E.A., Géostatistique at Ecole des Mines de Paris
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (1)
simulation9
Programming languages (1)
Github contributions (5)
cran/RandomFields
Oct 2012 - Jan 2022
:exclamation: This is a read-only mirror of the CRAN R package repository. RandomFields — Simulation and Analysis of Random Fields. Homepage: https://www.wim.uni-mannheim.de/schlather/publications/software
Contributions:38 commits in 9 years 5 months
simulation
schlather/RandomFieldsUtils
Jan 2020 - Jun 2020
Contributions:5 pushes, 1 branch in 4 months
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