I am currently working as a PhD student at the University of California, San Diego with professors Virginia De Sa and Julian McAuley in the cognitive science and computer science departments. My recent research is focused on the development of new classes of deep neural network algorithms using insights derived from the gaps between the current abilities of AI systems and the cognitive abilities of humans. From these gaps, I investigate the abstract information-level properties of human cognition that are responsible for our novel cognitive abilities and reify them into efficient, scalable, and powerful deep learning algorithms. For my thesis, I am developing a particular class of deep neural networks and applying them to problems in transfer learning, missing data imputation, and recommender systems.
A clean and consistent understanding of the complex phenomena related to human-ness is essential for developing science and technology related to humans. In pursuit of this, I am curating a dual-pronged research program to support the simultaneous development of mathematical and philosophical theories of cognition and related phenomena as well as artificially intelligent systems that make use of the insights gleaned from these theories to succeed at difficult engineering problems.