I joined the lab as a postdoc in April 2022. I am broadly interested in elucidating the fundamental computational principles underlying high-level cognitive processes such as learning, attention and perceptual awareness. I find that valuable insights can be gained by using computational models as bridges between high-level cognitive concepts, which are sometimes vague and subjective, and exact mathematical formalism. Towards that aim, I have used the frameworks of dynamical systems, reinforcement learning, and information theory to explain diverse phenomena such as the tradeoff between value and complexity in navigational learning, the effects of mental training on temporal attentional capacity, and the relationship between visual ambiguity and speed of access to awareness. Finally, I am hopeful that a deeper understanding of the computational mechanisms underlying high-level cognition will also lead to improved treatment of debilitating mental disorders in which such mechanisms go awry.