Sonja Adomeit

Sonja Adomeit

Sonja Adomeit, M.Sc.

I am a graduate student research assistant at the StatNLP group, supervised by Prof. Dr. Stefan Riezler. My current research focus is the trade-off between accuracy and privacy protection in predictive models for healthcare.

Research Interests

  • Machine learning
  • Differential Privacy
  • Time Series Modelling
  • Medical Data Analysis

Education

2021 Master in Business Information Technology, HTWG Konstanz
2018 Bachelor in Global Business Management, University of Augsburg

Employment History

09/22 Graduate Research Associate
Department for Computational Linguistics, Heidelberg University

Selected Publications (full list)

  1. Clara Berlin, Sonja Adomeit, Priyanka Grover, Marcel Dreischarf, Oliver Dürr and Peter Obid
    140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays
    The Spine Journal, 22(9), S74, Elsevier, 2022
    | bib 
    @article{berlin2022140,
  title = {140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays},
  author = {Berlin, Clara and Adomeit, Sonja and Grover, Priyanka and Dreischarf, Marcel and D{\"u}rr, Oliver and Obid, Peter},
  journal = {The Spine Journal},
  volume = {22},
  number = {9},
  pages = {S74},
  year = {2022},
  publisher = {Elsevier}
}