Chapman, et al., “On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems,” in 57th IEEE Conference on Decision and Control, December 2018. PDF
Risom, Langer, Chapman*, Rantala*, et al., “Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer,” Nature Communications, 2018. *equal LINK
Chapman, et al., “Reachability Analysis as a Design Tool for Stormwater Systems,” in 6th IEEE Conference on Technologies for Sustainability, November 2018. PDF
Chapman, et al., “A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations,” in 55th IEEE Conference on Decision and Control, December 2016. PDF
Chapman, et al., “Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching,” in 5th IEEE Conference on Biomedical Robotics and Biomechatronics, August 2014. PDF
Fridovich-Keil, Hanford, Chapman, et al., “A Model Predictive Control Approach to Flow Pacing for TCP,” in 55th Allerton Conference on Communication, Control, and Computing, October 2017. Preprint
Papers Under Review
Chapman, et al., “Modeling phenotypic-state transitions that are linked to therapeutic escape in triple-negative breast cancer,” under review for PLoS Computational Biology.