PhD Student, Department of Physics
Research Interests: Complexity, algorithmic complexity, emergence, artificial life & artificial intelligence, physics of living systems, consciousness, computer science, information theory
Education: B.S. in Physics from East Tennessee State University
Current Research: Life has something that makes it very distinct from non-life: Open-ended evolution. This is ability for a system to continuously evolve, adapt, and innovate without grinding to a halt. We are currently studying a model that recreates this aspect of life, without worrying about randomness or noise. In other words, this model is fully deterministic. The model that we currently use for this research is 1-Dimensional Cellular Automata, which can be utilized to implement state-dependent feedback and multiple layers of interaction, which are both key in generating open-ended evolution.