Skip to content
Technical University of Munich
Picture of Annika Schneider

Annika Schneider, M.Sc.

Technical University of Munich

Associate Professorship of Energy Management Technologies (Prof. Goebel)

Postal address

Arcisstr. 21
80333 München

Academic background

  • Bachelor mathematics (TUM), focusing on probability theory and statistics
  • Bachelor thesis in cooperation with the Bayerische Landesbank, concerning risk measures in operational risk
  • Master financial mathematics and actuarial science (TUM), focusing on applied statistics and data science
  • Master thesis in cooperation with the Australian National University, Macquarie University Sydney and the University of Melbourne, concerning the quantification and hedging of moral hazard risk in disability income insurance
  • Internships and working student positions in the area of insurance, banking, consulting, asset management, biostatistics and research

Research interests

  • Statistical Modeling
  • Machine learning methods and their intersection to probability theory

Teaching

  • Lecture Machine Learning in Energy Management
  • Lab Energy Informatics

Publications

2025

  • Ruiz de Vargas, Jan Marco; Schneider, Annika; Pinson, Pierre; Goebel, Christoph: Data Sharing between Wind Energy Producers: Economic Incentives and Strategic Behavior. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, ACM, 2025, 505-514 more…
  • Schneider, Annika; Khemka, Gaurav; Pitt, David; Zhang, Jinhui: Quantifying and hedging economic risk in disability income insurance portfolios. Annals of Actuarial Science 19 (2), 2025, 285-303 more…
  • Schneider, Annika; Schüttler, Lukas; Ruiz de Vargas, Jan Marco; Eichelbeck, Michael; Goebel, Christoph: e-SparX: A Graph-Based Artifact Exchange Platform to Accelerate Machine Learning Research in the Energy Systems Community. Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, ACM, 2025, 436-445 more…
To top