Brendan Hogan Rappazzo

I am a second year PhD student in Computer Science at Cornell University advised by professor Carla Gomes in the lab of Computational Sustainability. I completed my undergraduate degree in Biomedical Engineering, with a minor in Physics at the University of Maryland, College Park.

I believe that the most exciting prospect of powerful, scalable AI/ML methods is the ability to address sustainability issues. Further, I believe that by studying real world problems you discover interesting research questions that advance the state and understanding of AI methods.

Specifically, I am interested in the sub-fields of computer vision (primarily segmentation), understanding neural networks (calibration, lottery ticket hypothesis, and weight agnostic networks), active learning, reinforcement learning, and HCI.

Examples of my experience with AI applications include material discovery, monitoring of African elephants, large-scale tracking of seagrass disease, and generation of 1/f noise.