SIPLAB

Our research focus is in computational neuroengineering, an intersection of neuroscience, data science, neurotechnology and computational modeling that aims to advance the understanding of brain function and the design of effective interventions... In the Structured Information for Precision Neuroengineering Lab (SIPLab), our research has a particular focus on exploiting closed-loop interactions between biological and artificial intelligence to create precision models and algorithms. We have an emphasis on "human in the loop" approaches such as explainable AI, feedback control and active learning. Our clinical focus is on the quantification and treatment of psychiatric disorders such as treatment resistant depression. Scholarly activity in the SIPLab also includes research and creative work that advances our understanding of the societal impacts of emerging areas such as neurotechnology and AI.