David Schultz


David Schultz is a Ph.D. student at the DAI-Labor of the Technische Universität Berlin. He is mainly concerned with a generalization of the sample mean for time series in Dynamic Time Warping spaces and its applications. In the fields of Time Series Data Mining and Deep Learning he contributed to several projects for clients such as the European Union, the Volkswagen AG or the T-Labs.

Research fields

  • Statistical Machine Learning in Dynamic Time Warping Spaces
  • Time Series Data Mining


  • Machine Learning
  • Data Science
  • Theoretical Analysis
  • Programming

Academic career

  • Ph.D. student at DAI-Labor
  • M.Sc. in Mathematics at Technischen Universität Berlin
  • B.Sc. in Mathematics at Technischen Universität Berlin


  • Foundations of Data Science
  • Semantic Search Project / Data Science Project