M.Sc. Abrar Ahmed

Focus of work


  • Deep Learning
  • Reinforcement Learning
  • Computational Statistics


2021Doctoral Candidate at Trier University;
Topic of the Thesis: Use of Big Data in Official Statistics

M.Sc. in Applied Statistics

Thesis: Modeling Covid-19 Data in Germany:  A case study
2016B.Sc. in Applied Statistics

Curriculum vitae

2020Intern (Statistisches Bundesamt)
2018-2021M.Sc. in Applied Statistics (Trier University)
2018Data Scientist (Robi Axiata Limited)
2017Research Assistant (Child Health Research Foundation)
2013-2016B.Sc. in Applied Statistics (University of Dhaka)
2013-2014Staff-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.