Dr. Mikkel Elle Lepperød

Affiliation: Department of Biosciences, University of Oslo 

Contact: mikkel@simula.no

Research interest

My research focuses on developing and applying methods from causal inference, computational neuroscience and machine learning.

I apply causal inference techniques to provide fundamental insights into biological systems; and I study learning in artificial and biological neural networks simultaneously to develop new, fundamental insights in both AI and neuroscience.

My research is fundamentally cross-disciplinary and I have found working within several disciplines has increased my awareness of analogies and similarities in these, and opened up avenues for inspiring and impactful collaborations.

Short Bio

Mikkel Elle Lepperød has a MSc in applied mathematics, and PhD in neuroscience at the Centre for integrative neuroplasticity (CINPLA), University of Oslo. During his PhD he worked with quasi-experimental methods for inverse problems in brain networks, and the sense of space in mammals, using computational and experimental methods. He is now a postdoctoral fellow working with biologically inspired artificial intelligence.

• See list of publications on Google scholar

Supervisor for the following CompSci projects

• Bioscience

  • Bio-inspired methods for continual learning in deep neural networks (available in call 2)
  • Causal learning in neural networks and the brain (available in call 2)
  • Causal learning in neural networks and the brain (available in call 2b)

• Mathematics and Statistics

  • Stable representations in deep learning (available in call 2)