I am currently finishing up a PhD in Cognitive and Brain Sciences at the University of Nevada, Reno, where I conduct research in Mark Lescroart’s lab. My graduate research focuses on the intersection of deep learning, neuroscience, and interpretability—particularly, how techniques developed to interpret AI models can be applied to understanding the functional organization of the human brain. My primary research has involved mapping deep neural networks to brain activity and using methods like feature visualization and response simulation to analyze representations in the human brain.

Beyond this, I have worked on a variety of interdisciplinary projects, including characterizing cortical body representation, the development of the cross-university Visual Experience Database Project, and the application of deep-learning techniques to energy grid systems as a graduate research intern at Pacific Northwest National Lab.

I have extensive experience in programming, deep learning, statistical analysis, and scientific research. Code for published projects is available on my GitHub, and my publications and presentations can be found on my Scholar profile.