Julia Siekiera, M.Sc.

Johannes Gutenberg University Mainz
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany

E-Mail:
Room: 03-623

 

Research Interests

Deep Learning in Population Genomics, Variational Autoencoders,Text Classification, Active Learning

 

Short Scientific CV

since 05/2019            Research associate at Johannes Gutenberg University in Mainz
04/2017 - 03/2019      Computer Science (M.Sc.) at Johannes Gutenberg University in Mainz
04/2014 - 08/2017      Computer Science (B.Sc.) at Johannes Gutenberg University in Mainz

 

Teaching

  • Tutor in Complexity Theory (2017)
  • Tutor in Programming Languages (2016, 2017)
  • Tutor in Introduction to Programming (2016)

 

Publications

Burkhardt, S., Siekiera, J., Glodde, J., Andrade-Navarro, M., Kramer, S. (2020) Towards identifying drug side effects from social media using active learning and crowd sourcing. In: Pacific Symposium for Biocomputing (PSB).

Burkhardt, S., Siekiera, J., Kramer, S. (2018) Semi-Supervised Bayesian Active Learning for Text Classification. In: Bayesian Deep Learning Workshop at NeurIPS.