Abrar Ahmed, M.Sc.



  • Deep Learning
  • Reinforcement Learning
  • Computational Statistics


  • 2021 Doctoral Candidate at Trier University;
    Topic of the Thesis: Use of Big Data in Official Statistics
  • 2021 M.Sc. in Applied Statistics
    Thesis: Modeling Covid-19 Data in Germany:  A case study
  • 2016 B.Sc. in Applied Statistics
  • 2020 Intern (Statistisches Bundesamt)
  • 2018-2021 M.Sc. in Applied Statistics (Trier University)
  • 2018 Data Scientist (Robi Axiata Limited)
  • 2017 Research Assistant (Child Health Research Foundation)
  • 2013-2016 B.Sc. in Applied Statistics (University of Dhaka)
  • 2013-2014 Staff-Writer (Sidetackle)


  • Ahmed, A., Articus, C., Ertz, F., Münnich, R., Schmaus, S., Shlomo, N., & Weymeirsch, J. (2021): Overview report on the generation of synthetic universes for microsimulations. Utility and confidentiality of synthetically generated data sets, Deliverable D12.6, Leuven, InGRID-2 project 730998 – H2020.
Abrar Ahmed
Abrar Ahmed
Beschäftigter FB Wirtschaft


Schneidershof | Gebäude K | Raum 209
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