Michael Kelley

Michael Kelley is a computational scientist and applied mathematician with over five years of research experience in both academic and industry settings. They have developed stochastic and deterministic models related to biochemical and biophysical processes, particularly concerning blood clotting. Their proficiency includes the use of ODE and PDE models, stochastic models, and techniques for parameter estimation and uncertainty quantification. Michael held positions as a Postdoctoral Researcher at DILIsym Services, a Summer Student Worker at Pfizer, and a Graduate Student Researcher at the Colorado School of Mines, where they earned a PhD in Applied Mathematics. Currently, they serve as a Principal Data Scientist at Amgen.