Martin Seyferth
Martin Seyferth
Doctoral Researcher
Affiliation: Physikalisch-Technische Bundesanstalt, PTB
Martin Seyferth studied Mathematics at Humboldt University and received a Master of Science degree in 2023. He has industry experience from several roles as a Software Developer and Data Scientist. His research interests lie at the intersection of Data Management and Machine Learning, with a focus on data quality for medical machine learning applications and the benchmarking and evaluation of machine learning systems.
- Data Quality
- Medical AI
- ML Benchmarking
- Trustworthy AI
Martin Seyferth, Katinka Becker, Tobias Schaeffter, Daniel Schwabe, Matthias Boehm