Advisors
Areas of Interest
My current research concerns the dynamic mechanisms that allow collections of cells to organize, process information, and learn. There are two main branches to this work: (1) Adaptive immune system learning. We seek to better understand, model, and adopt paradigms of decentralized learning that takes place during affinity maturation. We implement a computational framework designed to handle a wide range of adversarial attacks that is based on the processes of flocking, mutation and proliferation, and consensus. We evaluate this system through experiments on deep-image classification problems and a range of adversarial attack strategies. (2) Dynamics of wound healing. We investigate the dynamics of tissue recovery through fluorescence microscopy. By using cell-cycle reporters and nucleus stains we are able to capture dynamic spatio-temporal information from human fibroblasts. We investigate computational methods for determining cell movement and inferring differences in behavior during wound recovery
Credentials
- B.A., Earlham College (Philosophy)
- M.S., University of Michigan - Dearborn (Data Science)