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