My research advisor is Prof. Rhanor Gillette, and my research is currently focused on computational models of behavior, memory and neuroplasticity. In particular, I develop models of artificial intelligence that are founded upon the evolutionary and neural principles of animal behavior.

Research Interests and Projects:
• Computational models of behavior, such as Cyberslug and ASIMOV, built on core circuitry of approach/avoidance decision. I am expanding ASIMOV further for more complex spatial learning and memory, and more abstract cognitive mapping.
• Models of memory and neuroplasticity, such as SITDL, including simplest architectures for episodic memory and path integration, and their application to artificial intelligence.
• Octopus behavioral and physiological studies for CyberOctopus collaborative project, as well as modeling of octopus arm circuitry and 3D octopus environments.