I am a PhD candidate in applied math at UCLA. My research interest is in mathematical modeling, specifically developing theory that explains physical and biological phenomena. Particularly I'm interested in the principles guiding the formation of biological networks, such as microvascular networks and fungal network. My specialization includes fluid dynamics, continuum mechanics, biomathematics, and asymptotic and computational math. My advisor is Marcus Roper.
My work is currently supported by System and Integrative Biology Training Grant from NIH.
Recent Publications
[7] "A model for bipolar disorder based on learned expectation" (2018). S.-S. Chang, T. Chou. [submitted]
[6] “A Gradient Descent Algorithm based on an extended Lagrange Multiplier Approach for Finding Optimal Capillary Networks of General Functionals” (2017). S.-S. Chang, M. Roper. [arXiv]
[5] “Minimal transport networks with general boundary conditions”, SIAM Journal on Applied Mathematics (2018). S.-S. Chang, M. Roper. [pdf]
[4] “Optimal occlusion uniformly partitions red blood cells fluxes within a microvascular network”, PLoS computational biology (2017). S.-S. Chang, S. Tu, Y.-H. Liu, K. I. Baek, A. Pietersen, V. Savage, S.-P. Hwang, T. K. Hsiai, M. Roper. [pdf]
Recent Awards
2018-2019 Fellowship for Abroad Study from Taiwan Department of
Education
2018-2019 Dissertation Year Fellowship
2015-2018 System and Integrative Biology Training Grant
2015 NSF Graduate Research Fellowship Program Honorable Mention
shyrsheachang at ucla dot edu