If you made any changes in Pure these will be visible here soon.

Personal profile


Levin Kuhlmann, PhD, is a data scientist, computational neuroscientist and neural engineer. His research areas include data science, machine learning, signal processing, control theory and computational neuroscience applications to digital health, neural engineering and neuroimaging.

Education/Academic qualification

Cognitive and Neural Systems, PhD, Boston University

External positions

Honorary Senior Research Fellow, University of Melbourne

Research area keywords

  • Digital Health, Data Science, Machine Learning, Statistical Signal Processing, Stochastic Filtering, Control Theory, Computational Neuroscience, Neural Engineering, Neuroimaging, Neurology, Epilepsy, Anaesthesiology


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or