Neuroscience-adjacent problems
Earlier in my career, I worked on optimization and control problems in a neuroscience context (with the BrainGate trial). Because neuroscience is capacious and interdisciplinary, many of the problems that I work on remain neuroscience-adjacent even though the brain is no longer front and center. I’ve enjoyed collaborating with neuroscientists over the years, and I welcome continued collaboration related to the following problems:
- What are the general properties of decentralized systems that sense, compute, decide, act, and learn? What are the most effective computational methods to describe and visualize such systems? How do we design inputs to such systems to elicit informative data or achieve desired clinical outcomes?
- What can the general properties of the nervous system, an example of a system that learns, teach us about the immune system, another system that learns?
- What are the cellular, metabolic, developmental, and immunological determinants of neuro-degenerative diseases? What about neuro-regenerative response to injury, ischemia, or hemorrhage?
- What are the evolutionary, developmental, and physiological elements of direct cross-talk between the nervous system and the immune system?
- What are practical ways to combine real-time bioelectrical sensing with other modalities, like biochemical sensing?