Dr. Sebastian Damrich

Sebastian Damrich
Sebastian Damrich is an Early Career Research Group Leader at the Hertie AI, where he develops and analyses machine learning models for neuroscience and biomedical data. His focus is on unsupervised and self-supervised methods for representation learning, in particular clustering, dimensionality reduction and visualization, but he has worked on image segmentation as well. With a background in Mathematics, he is also interested geometric deep learning and topological data analysis. He is a member of the ELLIS and the SIAM societies.
Annotated data is a scarce resource. Unsupervised learning enables researchers to discover structure in unlabelled data sets.

Present Positions And Title

Group Leader

Phone

Social Media

Career

PeriodInstitutionRole
Since 2025Hertie Institute for AI in Brain Health, University of TübingenGroup Leader
Since 2023Hertie Institute for AI in Brain Health, University of TübingenPostDoc
2018 - 2022Heidelberg University & University Hospital HeidelbergPhD Student
2018SAP SEWorking Student

Academic Education

YearDegreeInstitutionField of Study
2022PhDHeidelberg UniversityComputer Science (interdisciplinary with Mathematics)
2018MScHeidelberg UniversityMathematics
2016MAStUniversity of CambridgeMathematics
2015BScHeidelberg UniversityMathematics