Grady Jensen

PhD Candidate (alumnus)

After spending several years working in industry, the last few years using my machine learning knowledge in the realm of healthcare and insurance on several IBM Watson Healthcare projects, I discovered a deep interest in research. I am entralled by the obscure nature of the nervous system. Although many areas of this system are well understood, there are many other areas, such as memory or cognition, that are elusive and puzzling. I am interested in research that bridges the gap between AI and neuroscience; finding ways to leverage the ability of current AI algorithms and methodologies to understand the avalanche of neuroscience data while concomitantly using inspiration from neuroscience to create artificial models that resemble the biological.


  • leveraging machine learning and computer vision in neuroscience
  • biologically plausible AI
  • data with multiple modalities