Dr. Dmitry Kobak

Dmitry Kobak
Dmitry Kobak is a group leader in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen. He is interested in unsupervised and self-supervised learning, in particular contrastive learning, manifold learning, and dimensionality reduction for two-dimensional visualization of high-dimensional biological datasets such as single-cell transcriptomic datasets. He has also worked on statistical forensics and has been involved in the analysis of Russian electoral falsifications and Covid-19 excess mortality. He is a member of the ELLIS society and an IMPRS-IS associated scientist.
Unsupervised data exploration plays an important role in many areas of science and becomes increasingly crucial as collected datasets grow in size and complexity.

Present Positions And Title

Group Leader

Social Media


Since 2021University of TübingenGroup leader
2017 - 2021University of TübingenPostdoc
2013 - 2016Champalimaud Centre for the UnknownPostdoc
2007 - 2010University of FreiburgPhD student

Academic Education

YearDergreeInstitutionField of Study
2013PhDImperial College LondonBioengineering
2007MScSt Petersburg State UniversityPhysics
2004BScSt Petersburg ITMO UniversityComputer Science