Chapman MP, et al. "A model of phenotypic state dynamics initiates a promising approach to control heterogeneous malignant cell populations," In 2016 IEEE 55th Conference on Decision and Control (CDC), pp. 2481–2487. PDF
Chapman MP, et al. "Position and velocity cursor mappings contribute to distinct muscle forces in simulated isometric and movement reaching." In 2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 597-603. PDF
Fridovich-Keil D, Hanford N, Chapman MP, et al. (2017). "A Model Predictive Control Approach to Flow Pacing for TCP," In 55th Annual Allerton Conference on Communication, Control, and Computing, 2017. Preprint
Chapman MP, et al. "On the Analysis of Cyclic Drug Schedules for Cancer Treatment using Switched Dynamical Systems," Under review for 2018 IEEE Conference on Decision and Control.
Risom T, Langer EM, Chapman MP*, Rantala*, et al. "Differentiation-state plasticity is a targetable resistance mechanism in basal-like breast cancer," Under review for Nature Communications. *Equal contributions
Chapman MP, et al. "Reachability Analysis as a Design Tool for Stormwater Systems," Extended abstract under review for 2018 IEEE Conference on Technologies for Sustainability.
Chapman MP, et al. "Modeling phenotypic-state transitions that are linked to therapeutic escape in triple-negative breast cancer." In preparation for PLoS Computational Biology.