Patrick Michalsky joined the Institute of Resource Information Management in April 2019 as a student assistant. He holds a master's degree in Media informatics with a strong orientation towards neuroinformatics and machine learning. His master thesis on the topic "General Game Playing Approaches for Financial Time Series Analysis" was submitted to the University of Ulm in 2020.
The research topics cover automated composition and distribution of data science componentes using CI/CD DevOps, the generation and evaluation of synthetic time series, and the cross-domain integration of cutting-edge machine learning algorithms.
- Machine Learning
- Optimization methods
- Artificial neural network models
- STEALTH: Anonymisation through Privacy-preserving Data Generation
2020 - today
2018 - 2020 Master of Science, Universität Ulm 2014 - 2018 Bachelor of Science, Universität Ulm 2011 - 2013 Architecture, Karlsruhe University of Applied Science 2010
Theses & Student Projects
Ongoing & Completed Topics
- Portfolio Management: Diversification using Cluster Analyis (Seminar)
- Synthetic Data, How Deepfake come to be (Seminar)
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