Johannes Huegle

My research focuses on necessary work that supports the embedding of Causal Structure Learning (CSL) into real-world application scenarios. In particular, I investigate how challenges such as mixed data that impede the application of CSL in practice can be addressed through the application of non-parametric statistical concepts and the provision of a supportive IT-system.

Statistician with two responsible projects at the SAP Innovation Center Network •Responsibilities: statistical investigation, evaluation and presentation; contact for statistical questions; development and validation of statistical models, various implementation tasks •Topics: CLV, Brand Value, Social Media Analysis, Human Capital, Survey Analysis •Technology: R, Java, SAP HANA PAL, SAP Predictive Analysis, JavaScript, Node.JS

Teaching Assistant of the Lecture "Lineare Algebra I": Reprocessing of the lecture for the students; Weekly correction and explanation of problem sets; Preparation for exams and correction

Community service in lieu of compulsory military service: Supervision and support of disabled employees in a working environment; Production planning and instruction of 26 employees.

Main Focus: Machine Learning and Computational Statistics

Main Focus: Probability Theory and Statistics

Main Focus: Probability Theory and Statistics