Innovation, Science, and Technology Building, Room 2009, 4700 Research Way, Lakeland, FL 33805
Ph.D. in Mechanical Engineering, Brown University, 2004
M.S. in Mathematics, Brown University, 2000
Websites/Social Media Accounts*
Throughout his career as a computation scientist Myles Kim has mastered computational methods that are applicable to the combination of mathematical theories of elasticity, fluid dynamics, and reaction-diffusion system in the context of biological model development. At Florida Polytechnic University, Kim has been developing a computational model to explore the mechanical roles of microtubules in response to anti-cancer treatment and their roles in the cellular functions. He has also been working on a 3D individual cell-based model which incorporates physical interaction between cells, chemical interactions through secretion/consumption, and individually regulated cell-cycle progression including cell proliferation and cell death. This model is suitable to be used for 3D tissue environment simulations and will provide a framework to build a computational model which can capture mechanical and biochemical interaction between tumor cells and stromal cells.
- Intracellular mechanics modeling
- Cancer cell cycle modeling
- Agent based modeling
- Multicellular modeling
- Medical device modeling
- A. Bowers, J. Bunn, and M. Kim, “Efficient Methods to Calculate Partial Sphere Surface Areas for Higher Resolution Finite Volume Method for Diffusion-Reaction Systems in Biological Modeling,” Math. Comput. Appl. 25(1), 2 (2020) https://doi.org/10.3390/mca25010002
- Kim, “A Numerical Mechanical Model Integrating Actin Treadmilling and Receptor Recycling to Explain Selective Disengagement of Immune Cells,” Mathematical Biosciences, Vol 316 (2019)
- Kim, “Mechanism of MDCK II cell polarization during the cell division: A computational study”, Applied Mathematics and Computation 317C (2018) pp. 1-11
- W. Wojtkowiak, H.C. Cornell, 4 more authors, M. Kim, 11 more authors, R. J. Gillies, “Pyruvate sensitizes pancreatic tumors to a hypoxia activated pro-drug TH-302,” Cancer Metab.3(1):2. (2015)
- Kim, K.A. Rejniak, “Mechanical aspects of microtubule bundling in taxane-treated circulating tumor cells,” Biophysical Journal 2;107(5):1236-46. (2014)
- Kim, D. Reed, and K.A. Rejniak, “The formation of tight tumor clusters affects the efficacy of cell cycle inhibitors: a hybrid model study,” Journal of Theoretical Biology 352 31–50 (2014)
- Kim, R. A. Gillies, K.A. Rejniak , “Current advances in mathematical modeling of anti-cancer drug penetration into tumor,” Frontiers in Oncology, 3: 278 (2013)
- Kim, I.V. Maly. “Deterministic mechanical model of T-killer cell polarization reproduces the wandering of aim between simultaneously engaged targets,” PLoS Computational. Biology, 5 (2009)
- Kim, S. Baek, S. Jung, K. Cho, “Dynamical Characteristics of Bacteria Clustering by Self-Generated Attractants,” Computational Biology and Chemistry 31 (2007) 328–334.
- Kim, Thomas R. Powers, ” Deformation of a helical filament by flow and electric field or magnetic fields,” Phys. Rev. E 71, 021914 (2005).
- Kim, J. C. Bird, A. J. Van Parys, K. S. Breuer, T. R. Powers, “A Macroscopic Scale Model of Bacterial Flagellar Bundling,” Proc. Natl. Acad. Sci. USA ,vol.100 no.26 15481–15485 (2003).
*External, third-party sites not maintained by Florida Polytechnic University