Michael Hagmann

Michael Hagmann

Michael Hagmann, MSc.

I am a graduate research assistant at the StatNLP group, supervised by Prof. Dr. Stefan Riezler. My current research focus are differentialy private machine learning techniques and their application to medical data.

Research Interests

  • Differential Privacy
  • Machine/Deep Learning
  • Time Series Modelling
  • Convex and Non-Convex Optimization
  • Bayesian Statistics
  • Medical Data Analysis

Curriculum Vitae

Education

2013 - 2016 Master in Statistics (with distinctions), University of Vienna
2010 - 2013 Bachelor in Statistics, University of Vienna

Employment History

since 09/19 Graduate Research Associate
StatNLP group, Department for Computational Linguistics, Heidelberg University
10/18 - 08/19 Research Associate
Heinrich-Lanz-Zentrum, Medical Faculty Mannheim, Heidelberg University
04/16 - 09/18 Research Associate
Department for Medical Statistics, Medical Faculty Mannheim, Heidelberg University
06/12 - 03/16 Consultant Statistician
Section for Medical Statistics, CeMSIIS, Medical University of Vienna

Awards

  • 2017 Award for the best Master thesis in applied statistics by the Austrian Statistical Society (ÖSG) pdf

Selected Publications (full list)