Cooper Stansbury

Cooper Stansbury

Ph.D. Program

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)