Dr. Sacha Sokoloski

Sacha Sokoloski
Dr. Sacha Sokoloski is a postdoc in the Department of Data Science at the Hertie Institute for AI in Brain Health at the University of Tübingen where he works on methods and models for understanding biological neural circuits. He takes a two-pronged approach: on one hand, he develops rigorous, probabilistic models of data and neural computation, and on the other, he develops large-scale machine learning methods to both simulate and analyze neural systems. One of his current projects involves applying deep reinforcement learning techniques to understand how animal visual systems adapt to their ecological niches.
Modern datasets are massive, and the models we apply to them are complex and difficult to decipher. Simple, principled theories are not things of the past, but more important than ever.

Present Positions And Title

Post Doc

Research Group


Since 2021University of TübingenPostdoc
2019 - 2021Albert Einstein College of Medicine, New YorkPostdoc
2017 - 2019Albert Einstein College of Medicine, New YorkResearch Trainee
2013 - 2019Max Planck Institute for Mathematics in the Sciences, LeipzigPhD student

Academic Education

YearDergreeInstitutionField of Study
2019PhDMPI for Mathematics in tde Sciences, LeipzigInformatics
2013Master’sBernstein Centre for Computational Neuroscience, BerlinComputational Neuroscience
2009Bachelor’s DegreeUniversity of TorontoCog Sci & AI, Philosophy, Statistics