Preprint and in preparation

  R. Li, P. Sahoo, D. Wang, Q. Wang, C. Brown, R. Rockne, H. Cho, 'Modeling of Glioma and CAR-T cell interaction considering multiple binding' submitted, 2022 arXiv
  A. Lewis, K. Storey, H. Cho, A. Zittle, 'Utilizing gradient approximations to optimize data selection protocols for tumor growth model calibration' submitted, 2021 arXiv
  E. Kim, R. Schenck, J. West, W. Cross, V. Harris, J. McKenna, H. Cho, E. Coker, S. L-Kramer, K. Tsai, E. Flores, C. D. Gatenbee ‘Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata’ bioRxiv, doi.org/10.1101/211383

Publications

  J. Alvarez, K. Storey, P. Kannan, H. Cho, Effective Dose Fractionation Schemes of Radiotherapy for Prostate Cancer Spora: A Journal of Biomathematics 8, 2022
  H. Cho, Y-H. Kuo, R. Rockne, Comparison of cell state models derived from single-cell RNA sequencing data: graph versus multi-dimensional space, Mathematical Biosciences and Engineering 19, 2022
  J. Gomez, N. Holmes, A. Hansen, V. Adhikarla, M. Gutova, R. Rockne, H. Cho, ' Mathematical Modeling of Therapeutic Neural Stem Cell Migration in Mouse Brain with and without Brain Tumors', Mathematical Biosciences and Engineering 19, 2022
  K. Williamson, H. Cho, B. Sousedik, ' Application of adaptive ANOVA and reduced basis methods to the stochastic Stokes-Brinkman problem', Computational Geosciences 25, 2021
  H. Cho, A. Lewis, K. Storey, R. Jennings, B. Shtylla, A. Reynolds, H. Byrne, 'A Framework for Performing Data-Driven Modeling of Tumor Growth with Radiotherapy Treatment', Springer AWM Series, Using Mathematics to Understand Biological Complexity, 2021
  H. Cho, A. Lewis, K. Storey, ' Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters to inform effective treatment protocols in cancer', J. Clin. Med. 9(10), 2020 (arXiv)
  H. Cho, Z. Wang, and D. Levy, 'Study of Dose-Dependent Combination Immunotherapy Using Engineered T Cells and IL-2 in Cervical Cancer', J. Theor. Biol. 505, 2020
  P. Sahoo, X. Yang, D. Abler, D. Maestrini, V. Adhikarla, D. Frankhouser, H. Cho, V. Machuca, D. Wang, M. Barish, M. Gutova, S. Branciamore, C. Brown, R. C. Rockne 'Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data', J. R. Soc. Interface, 17(162), 2020
  H. Cho, D. Levy, 'The Impact of Competition Between Cancer Cells and Healthy Cells on Optimal Drug Delivery', Math. Model. Nat. Pheno. 15 (42), 2020
  H. Cho, D. Levy, 'Modeling continuous levels of resistance to multidrug therapy in cancer', Appl. Math. Model., 64, 2018
  H. Cho, K. Ayers, L. DePillis, Y-H. Kuo, J. Park, A. Radunskaya, R. Rockne, ‘Modeling acute myeloid leukemia in a continuum of differentiation states’, Lett. Biomath., 5(sup1), 2018
  H. Cho, D. Levy, 'Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth', J. Theor. Biol. 436(7), 2018
  H. Cho, H. Elman, ‘Adaptive reduced basis collocation method based on PCM for anisotropic stochastic PDEs’, Int. J. Uncertain. Quantif. 8(3), 2018
  H. Cho, D. Levy, 'Modeling the dynamics of heterogeneity of solid tumors in response to chemotherapy', Bull. Math. Bio. 79(12), 2017
  H. Cho, D. Venturi, G. E. Karniadakis, ‘Numerical methods for high-dimensional kinetic equations’, SEMA SIMAI Springer Series, Uncertainty Quantification for Hyperbolic and Kinetic Equations, 2017
  D. Venturi, H. Cho, G. E. Karniadakis, ‘Mori-Zwanzig approach to uncertainty quantification’, Springer, Handbook on Uncertainty Quantification, 2017
  H. Cho, D. Venturi, G. E. Karniadakis, ‘Numerical methods for high-dimensional probability density function equations', J. Comput. Phys. 305, 2016
  H. Cho, X. Yang, D. Venturi, G. E. Karniadakis, 'Algorithms for propagating uncertainty across heterogeneous domains', SIAM J. Sci. Comput. 37(6), 2015
  H. Cho,  D. Venturi, G. E. Karniadakis, ‘Statistical analysis and simulation of random shocks in Burgers turbulence’, Proc. R. Soc. A, 470(2171), 2014.
  H. Cho, D. Venturi, G. E. Karniadakis, ‘Karhunen-Loeve expansion for multi-correlated stochastic processes’, Probabilistic Eng. Mech., 2013  
  H. Cho, D. Venturi, G. E. Karniadakis, ‘Adaptive discontinuous Galerkin method for response-excitation PDF equations’, SIAM J. Sci. Comput. 2013 
  D. Venturi, T. P. Sapsis, H. Cho, G. E. Karniadakis, ‘A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems', Proc. R. Soc. A 2012 

Theses

  H. Cho, ‘High-Dimensional Response-Excitation PDF Methods for Uncertainty Quantification and Stochastic Modeling’, Brown University (Ph.D. 2015), Advisor: Professor G. E. Karniadakis. PDF
  H. Cho, ‘Implementation of Dual Iterative Substructuring methods on a Parallel computer’, KAIST (MS 2009), Advisor: Professor C-O, Lee. PDF