I am a student at The Johns Hopkins University in the Combined Bachelor’s / Master’s degree program, graduating with a B.S. in Applied Math & Statistics and an M.S.E. in Biomedical Data Science in May 2020. My interests are broad but I am especially interested in statistical decision theory and theoretical methods for working with structured data, such as network-valued and spatial data, with applications to environmental health and social problems. I am currently working in the Johns Hopkins NeuroData Lab, developing a toolbox of multiview learning methods for work on neuroimaging data. Check out some of my projects and feel free to contact me!
In my free time, I enjoy running, climbing, swing dancing, baking sourdough bread, board games, ultimate frisbee, and reading.