Kilian Sprenkamp

Kilian Sprenkamp
 

Research Assistant

Department of Informatics
University of Zurich
Binzmuehlestrasse 14

CH-8050 Zürich

Email: sprenkamp AT ifi.uzh.ch
Fax:  
Room:  

Short CV

 

Work

Education

  • 10/2017 - 04/2021: Master of Science Data Science, Queen Mary University of London, London, United Kingdom. Thesis Topic: A data driven approach to understand the relationship of climate and energy usage (Prof. Dr. Norman Fenton)
  • 09/2015 - 01/2016: Exchange Term,  CY Cergy Paris University in Paris, France
  • 09/2013 - 06/2017: Bachelor of Science EconomicsGottfried Wilhelm Leibniz University, Hanover, Germany. Thesis Topic: A Quantitative Analysis of Machine Learning Algorithms and Ensemble Methods (Prof. Dr. Michael Breitner)

 

Research Interests

  • Artificial Intelligence for Governments and the Public Sector
  • Deep Learning and Reinforcement Learning
  • Blockchain Applications

Publications

Rownicka, J., Sprenkamp, K., Tripiana, A., Gromoglasov, V., & Kunz, T. P. (2021). Digital Einstein Experience: Fast Text-to-Speech for Conversational AI. arXiv preprint arXiv:2107.10658. URL: https://arxiv.org/abs/2107.10658