Prior to coming to JHU, I was a research assistant at the National Institute of Mental Health working with the late Leslie Ungerleider and Maryam Vaziri-Pashkam. I received a BA in neuroscience from the University of Tennessee, Knoxville in 2017. My full CV is available here.
My great loves are hiking with my dog and partner, cycling, cooking, reading, or taking care of my growing collection of house plants.
Looking around a busy restaurant, you are able to make complex inferences about what people are doing and their interactions with each other. While state-of-the-art computer vision algorithms may be able to identify the individuals or some of the objects in the image, the understanding is dramatically impaired compared to human cognition. How can we build algorithms that perform like humans? My research is inspired by the idea that the best way to design these algorithms is through better understanding human cognition using behavior, neuroimaging, and computational modeling