About

I am a PhD student at the working group for Computational Statistics at the Ludwig-Maximilians-University Munich (LMU) in cooperation with the Fraunhofer ADA Lovelace Center. I am working on Semi-supervised learning, currently focusing on time series problems.

I hold a Bachelor's Degree in quantitative Economics from Heidelberg University and a Master's Degree in Statistics from LMU. Find more information about me on my personal website.

Contact

Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

Room 139

Phone: +49 911 58061 9595

jann.goschenhofer [at] stat.uni-muenchen.de

Research Interests

• Semi-supervised learning
• Metric Learning
• Time Series Problems
• Optimal Transport
• Manifold Learning
• Graphical Models

You Can Find me on

• Personal homepage
• GitHub
• ResearchGate
• Google Scholar
• ADA Lovelace Center

References

1. Pfister FMJ, Um TT, Pichler DC et al. (2020) High-Resolution Motor State Detection in parkinson’s Disease Using convolutional neural networks. Scientific reports 10, 1–11. https://search.proquest.com/openview/c8d8a456e26182c9c3a056d86be76ef9/1?pq-origsite=gscholar&cbl=2041939.
2. Goschenhofer J, Pfister FMJ, Yuksel KA, Bischl B, Fietzek U, Thomas J (2019) Wearable-based Parkinson’s Disease Severity Monitoring using Deep Learning. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 400–415.
   link .