Jan Kapar

Education
  • 2023: Research stay (5 months), Department of Human Health and Nutritional Sciences, University of Guelph
  • since 2022: Doctoral Student Machine Learning, Faculty for Mathematics and Computer Science, Universität Bremen
  • 2014 - 2015: Exchange Semester, Università degli Studi di Padova
  • 2013 - 2016: M.Sc. Business Mathematics, Julius-Maxmilians-Universität Würzburg
  • 2011 - 2013: B.Sc. Mathematics, Julius-Maxmilians-Universität Würzburg

Work Experience
  • since 02/22: Doctoral Research Fellow, Leibniz BIPS
  • 03/2017 - 01/2022: Consultant, Accenture GmbH
  • 06/2016 - 09/2016: Intern, Accenture GmbH
  • 11/2015 - 03/2016: Intern, DAIMLER AG
  • 04/2013 - 07/2013: Student Assistant, Department of Mathematics, Julius-Maximilians-Universität Würzburg

    ORCID logo

    Selected BIPS-Publications

  • Conference proceedings

  • Watson DS, Blesch K, Kapar J, Wright MN. Adversarial random forests for density estimation and generative modeling. In: Ruiz F, Dy J, van de Meent J-W, editors. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, Valencia, Spain. 2023.
    https://proceedings.mlr.press/v206/watson23a/watson23a.pdf

For further publications please follow this link:

  • Winter 2022/2023: Biometrical Methods (Tutorial)

The responsibility for the content of this page lies with Jan Kapar.

Contact

Phone:
+49 (0)421 218-56-929