A computable evolution equation for the joint response-excitation probability density function of stochastic dynamical systems D Venturi, TP Sapsis, H Cho, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2012 | 56 | 2012 |

Karhunen–Loève expansion for multi-correlated stochastic processes H Cho, D Venturi, GE Karniadakis Probabilistic Engineering Mechanics 34, 157-167, 2013 | 42 | 2013 |

Numerical methods for high-dimensional probability density function equations H Cho, D Venturi, GE Karniadakis Journal of Computational Physics 305, 817-837, 2016 | 35 | 2016 |

Mori-Zwanzig approach to uncertainty quantification D Venturi, H Cho, GE Karniadakis Handbook of uncertainty quantification, 1-36, 2016 | 22 | 2016 |

Adaptive discontinuous Galerkin method for response-excitation PDF equations H Cho, D Venturi, GE Karniadakis SIAM Journal on Scientific Computing 35 (4), B890-B911, 2013 | 22 | 2013 |

Statistical analysis and simulation of random shocks in stochastic Burgers equation H Cho, D Venturi, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 15 | 2014 |

Modeling the dynamics of heterogeneity of solid tumors in response to chemotherapy H Cho, D Levy Bulletin of Mathematical Biology 79 (12), 2986-3012, 2017 | 13 | 2017 |

Modeling the chemotherapy-induced selection of drug-resistant traits during tumor growth H Cho, D Levy Journal of theoretical biology 436, 120-134, 2018 | 11 | 2018 |

Modelling acute myeloid leukaemia in a continuum of differentiation states H Cho, K Ayers, L de Pills, YH Kuo, J Park, A Radunskaya, RC Rockne Letters in biomathematics 5 (sup1), S69-S98, 2018 | 10 | 2018 |

Algorithms for propagating uncertainty across heterogeneous domains H Cho, X Yang, D Venturi, GE Karniadakis SIAM Journal on Scientific Computing 37 (6), A3030-A3054, 2015 | 8 | 2015 |

Modeling continuous levels of resistance to multidrug therapy in cancer H Cho, D Levy Applied Mathematical Modelling 64, 733-751, 2018 | 7 | 2018 |

Mathematical deconvolution of CAR T-cell proliferation and exhaustion from real-time killing assay data P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, D Frankhouser, ... Journal of the Royal Society Interface 17 (162), 20190734, 2020 | 5 | 2020 |

The impact of competition between cancer cells and healthy cells on optimal drug delivery H Cho, D Levy arXiv preprint arXiv:1806.07477, 2018 | 2 | 2018 |

An adaptive reduced basis collocation method based on PCM ANOVA decomposition for anisotropic stochastic PDEs H Cho, HC Elman International Journal for Uncertainty Quantification 8 (3), 2018 | 2 | 2018 |

Numerical methods for high-dimensional kinetic equations H Cho, D Venturi, GE Karniadakis Uncertainty Quantification for Hyperbolic and Kinetic Equations, 93-125, 2017 | 2 | 2017 |

Study of dose-dependent combination immunotherapy using engineered T cells and IL-2 in cervical cancer H Cho, Z Wang, D Levy arXiv preprint arXiv:2001.10573, 2020 | | 2020 |

A mathematical modeling approach to explore kinetics of Chimeric Antigen Receptor (CAR) T-cell Response in glioma: the CARRGO model P Sahoo, X Yang, D Abler, D Maestrini, V Adhikarla, D Frankhouser, ... bioRxiv, 786020, 2019 | | 2019 |

Mathematical modeling with single-cell sequencing data H Cho, RC Rockne BioRxiv, 710640, 2019 | | 2019 |

Targeting the Untargetable: Predicting Pramlintide Resistance Using a Neural Network Based Cellular Automata E Kim, R Schenck, J West, W Cross, V Harris, J McKenna, H Cho, E Coker, ... BioRxiv, 211383, 2017 | | 2017 |

Statistical analysis and simulation of random shock waves in scalar conservation laws D Venturi, H Cho, G Karniadakis APS, M31. 001, 2014 | | 2014 |