Scott Lowe Headshot

Scott Lowe

Postdoctoral Fellow

Scott Lowe completed an undergraduate MSci degree in Mathematics and Physics (Durham University), and both an MRes and a PhD in Computational Neuroscience (University of Edinburgh). During his PhD, he studied the information encoded by neuronal populations within the visual cortex, under the supervision of Prof. Mark van Rossum and Prof. Stefano Panzeri. Since his PhD, Scott has held a postdoctoral position at Dalhousie University under the guidance of Prof. Sageev Oore and Prof. Thomas Trappenberg, where he developed a novel activation function inspired by the operation of the dendritic tree in biological neurons. Scott is now a Postdoctoral Research Fellow at the Vector Institute and Adjunct Professor at Dalhousie University. His research interests span a number of topics in deep learning, including self-supervised learning, representation learning, and real-time interactive modelling.

Research Interests

  • Self-Supervised Learning
  • Representation Learning
  • Activation Functions
  • Real-Time Modelling