Jan Niklas Böhm

Jan Niklas Böhm
Nik is a PhD student in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen and the IMPRS-IS graduate school. He is interested in dimensionality reduction techniques for high-dimensional data. Learning good and compact representations in an unsupervised setting is a key part of that, some examples include contrastive learning in the form of t-SimCNE and t-SNE.
Let’s try to make sense of data by mapping it into two dimensions.

Present Positions And Title

PhD Student

Social Media


Since 2021University of TübingenPhD student
2019CERNSummer student
2018BoschStudent employee
2018University of TübingenTeaching assistant
2017German Research Center for Artificial Intelligence, KaiserslauternResearch assistant
2015 - 2017RheinMain University of Applied SciencesTeaching assistant

Academic Education 

YearDergreeInstitutionField of Study
2017 - 2020M.Sc.University of TübingenComputer Science
2019M.Sc.University of AmsterdamExchange Semester
2014 - 2017B.Sc.RheinMain University of Applied SciencesApplied Computer Science