My current research interests are in complex systems, machine learning, and optimization. I collaborate with friends in the West Point Math Department, Draper Laboratory, HuMNet Lab, and the MIT Operations Research Center.
Modeling Human Dynamics and Lifestyle using Digital Traces. S. Xu, S. Morse, and M.C. Gonzalez.
Modeling the influence structure of a network with Hawkes processes. S. Morse, Phil Chodrow, M.C. Gonzalez, N. Markuzon. Joint Mathematics Meetings, Networks Session. (San Diego, CA), January 2018.
Slides, Repo, Blog
The Role of Persistent Cascades in Diffusion. S. Morse, M.C. Gonzalez, N. Markuzon. Physical Review E 99, 012323, January 2019.
Persistent cascades: measuring fundamental communication structure in social networks. S. Morse, M.C. Gonzalez, N. Markuzon. Proc. of the IEEE Int'l Conference on Big Data (Washington, D.C.), December 2016.
Paper, Slides, Repo
(working) Machine learning prediction of combat basic training injury discharge from 3D body shape images. S. Morse, K. Talty, P. Kuiper, M. Scioletti, S. Heymsfield, and D. Thomas.
A machine learning approach relating 3D body scans to body composition in humans. J. Pleuss, K. Talty, S. Morse, P. Kuiper, M. Scioletti, S. Heymsfield, D. Thomas. Journal of Clinical Nutrition (EJCN), 2018.