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Kimberly Boster

  • Assistant Professor (Research) Department of Mechanical Engineering

PhD, Brigham Young University


Brief Bio

Kimberly Boster is a Research Assistant Professor of Mechanical Engineering. Prior to this she was a Postdoctoral Associate at University of Rochester and a Lillian Gilbreth Postdoctoral Fellow at Purdue University. She obtained her PhD in Mechanical Engineering at Brigham Young University, studying phase-change heat transfer on superhydrophobic surfaces. She also earned an MS studying human vocal fold fluid-structure interactions and a BS in Mechanical Engineering from Brigham Young University.

Research Overview

I am interested in many research fields involving computational and experimental fluid dynamics and heat transfer, with my current focus being on the fluid and mass transfer dynamics of the glymphatic system, the brain's system for clearing metabolic waste. I seek to merge knowledge of governing physics, cutting-edge experimental measurements, and vast computational resources to understand, model, and predict how cerebral spinal fluid and solutes are transported in the brain. The models and measurements can be explored to improve fundamental understanding and eventually be applied to inform clinical decisions.

Research Interests

  • glymphatic transport
  • cerebral fluid mechanics
  • phase change heat transfer
  • image processing and computer vision

Selected Publications

  • Boster, K. A. S., Cai, S., Ladron-de-Guevara, A., Sun, J., Zheng, X., Du, T., Thomas, J. H., Nedergaard, M., Karniadakis, G. E., Kelley, D. H. Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows. In Press. Proceedings of the National Academy of Sciences.
  • Boster, K.A.S. , Tithof, J., Cook, D.D., Thomas, J.H. Kelley, D.H. 2022. Sensitivity analysis on a network model of glymphatic flow. Journal of the Royal Society Interface. 19(191):20220257.
  • Tithof, J, Boster, KAS, Bork, PAR, Nedergaard, M, Thomas, JH, Kelley, DH. 2022. A network model of glymphatic flow under different experimentally-motivated parametric scenarios. iScience. 25(5):104258.
  • Schreder, HE, Liu, J, Kelley, DH, Thomas, JH, Boster, KAS 2022. A hydraulic resistance model for interstitial fluid flow in the brain. Journal of the Royal Society Interface. 19(186):20210812.
  • Lipp, SL, Niedert, EE, Cebull, HL, Diorio, TC, Ma, JL, Rothenberger, SM, Stevens Boster, KA, Goergen, CJ. 2020. Computational Hemodynamic Modeling of Arterial Aneurysms: A Mini-Review. Frontiers in Physiology. 11:454.
  • Stevens, KA, Crockett, J, Maynes, D, and Iverson, BD. 2019. Simulation of Drop-Size Distribution During Dropwise and Jumping Drop Condensation on a Vertical Surface: Implications for Heat Transfer Modeling. Langmuir. 35: 12858-12875.
  • Stevens, KA, Smith, SM, Taft, BS. 2019. Variation in Oscillating Heat Pipe Performance. Applied Thermal Engineering. 149:987-995.
  • Stevens, KA, Crockett, J, Maynes, RD, and Iverson, BD. 2017. Two-phase flow pressure drop in superhydrophobic channels. International Journal of Heat and Mass Transfer. 110:515-522.