Martin Schlather

Data Scientist

Mannheim, Baden-Württemberg, Germany
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Summary

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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.
code13 years of coding experience
job5 years of employment as a software developer
bookHabilitation, Mathematics, Habilitation, Mathematics at TU Bergakademie Freiberg
bookVordiplom, Mathematics, Vordiplom, Mathematics at Universität Stuttgart
bookDiplom, Mathematics, Diplom, Mathematics at Universität Bayreuth
bookD.E.A., Géostatistique, D.E.A., Géostatistique at Ecole des Mines de Paris
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Github Skills (5)

r-package10
cran9
simulation9
package-repository7
math6

Programming languages (1)

C++

Github contributions (5)

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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: http://ms.math.uni-mannheim.de/de/publications/software/randomfields
Contributions:38 commits in 9 years 5 months
r-packagecran-rmannheimmathcran
schlather/RandomFieldsUtils

Jan 2020 - Jun 2020

Contributions:5 pushes, 1 branch in 4 months
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