Tanja Hagemann, M.Sc.

Tanja Hagemann is a research assistant at Service-centric Networking. In 2016 she achieved her Master's degree in mathematics at Wuppertal University with a focus on stochastic processes and complex analysis.

Besides her studies she gained versatile experience in data science and applied statistics during projects in a market research institute, at DLR Neustrelitz and at Wuppertal Institute for Climate, Environment and Energy. 

At SNET she is mainly concerned with applications of stochastic concepts in the field of machine learning technologies. Her current research is in cooperation with Deutsche Telekom, where she develops machine learning approaches for anomaly detection in self-organizing networks.

• Data Science
• Machine Learning
• Deep Learning
• Anomaly Detection
• Statistical Learning Theory
• Applied Statistics
• Probability Theory
• Stochastic Analysis