Dr. Sebastian Damrich

Sebastian Damrich
Sebastian is a Early Career Research Group Leader at the Hertie AI, where he develops and analyses machine learning models for 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.
Annotated data is a scarce resource. Unsupervised and self-supervised learning techniques enable researchers to discover structure in unlabelled data sets.

Present Positions And Title

Group Leader

Social Media

Career

PeriodInstitutionRole
Since 2023University 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