Ying Zhang
Postdoctoral Associate
Fai Group
Department of Mathematics
Brandeis University
Email: yingzhang@brandeis.edu
Office: Goldsmith 118B
Fai Group
Department of Mathematics
Brandeis University
Email: yingzhang@brandeis.edu
Office: Goldsmith 118B
PhD, Mathematics, Boston University
(May 2020, with Samuel Isaacson)
BA, Mathematics, Boston University (2015)
(May 2020, with Samuel Isaacson)
BA, Mathematics, Boston University (2015)
About
About
I am a Postdoctoral Associate in Mathematics in Fai Group at Brandeis University. I am interested in modeling, numerical analysis, and simulation of microscopic cellular processes, immune receptor signaling pathways, and applications of immersed boundary methods in red blood cell motion. My research interests include mathematical biology, PDEs/ODEs, stochastic processes, and numerical solutions to partial differential equations.
Peer-reviewed Articles
Peer-reviewed Articles
Y. Zhang and S. A. Isaacson, An Unstructured Mesh Convergent Reaction-Drift-Diffusion Master Equation for Reversible Reactions, In preparation for submission (2022).
L. Elam, M. Quiñones-Frías, Y. Zhang, A. A. Rodal, and T. G. Fai, Fast Solver for Diffusive Transport Time on Dynamic Intracellular Networks, Submitted (2022). [arXiv version of manuscript]
Y. Zhang and T. G. Fai, Influence of the Endothelial Surface Layer on the Wall-induced Migration of Red Blood Cells, Submitted (2022). [arXiv version of manuscript]
Y. Zhang and S. A. Isaacson, Detailed Balance for Particle Models of Reversible Reactions in Bounded Domains, J. Chem. Phys., Vol. 156, No. 20, pp 204105-1 -- 204105-19 (2022). [journal link] [arXiv version of accepted manuscript]
Y. Zhang, L. Clemens, J. Goyette, J. Allard, O. Dushek and S. A. Isaacson, The Influence of Molecular Reach and Diffusivity on the Efficacy of Membrane-Confined Reactions, Biophysical Journal, Vol. 117, No. 7, pp 1189-1201 (2019). [Open Access Journal Version]
S. A. Isaacson and Y. Zhang, An Unstructured Mesh Convergent Reaction-Diffusion Master Equation for Reversible Reactions, J. Comp. Phys., Vol. 374, pp. 954-983 (2018). [journal link] [arXiv version of accepted manuscript]
Y. Zhang, Particle-Based Stochastic Reaction-Diffusion Methods for Studying T Cell Signaling. PhD Thesis in Mathematics, Boston University, 2020 (Advisor: Samuel Isaacson). [PDF]
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