Research

My research seeks to understand intelligence as it appears in the natural world as well as to construct artificial systems with the resilience and plasticity of their biological counterparts. While modern research methods can map connectomes, record neural activity, and quantify rich behavioral repertoires, they seldom link these levels in a single framework. I address this through two intertwined research directions. First, I construct comparative experimental tasks engaging both human and non-human animals to study adaptive behavior, providing empirical benchmarks for theory. Second, I evolve and analyze neural network models embedded in simulated bodies and environments, using dynamical systems and information-theoretic analyses to uncover the core mechanisms that drive these behaviors. 

Read my full Research Statement Here