Publications
Peer-reviewed journal articles
Filter by research area or search by title, author, or venue.
2026
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68
AI Based Cough Analysis for Pulmonary Tuberculosis Triage and Diagnosis: A Technical ReviewDOIData science for public health
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66
Taylor approximation variance reduction for approximation errors in PDE-constrained Bayesian inverse problemsDOIInverse problems, uncertainty quantification, digital twins
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65
A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven DenoisersDOIDeep learning-based image reconstruction
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62
Context-specific image quality assessment for virtual histologic staining: checklist and guidelineImage quality assessment
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61
Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in OncologyDOIInverse problems, uncertainty quantification, digital twins
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2025
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59
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem SolversDOIDeep learning-based image reconstructionInverse problems, uncertainty quantification, digital twins
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55
Survey of Deep Learning and Physics-Based Approaches in Computational Wave ImagingDOIPhotoacoustic computed tomographyUltrasound computed tomographyDeep learning-based image reconstruction
2024
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53
Democratizing Uncertainty QuantificationDOIInverse problems, uncertainty quantification, digital twins
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52
Exploring the effect of sedentary behavior on increased adiposity in middle-aged adultsData science for public health
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51
Full-wave Image Reconstruction in Transcranial Photoacoustic Computed Tomography using a Multiphysics Finite Element MethodDOIPhotoacoustic computed tomography
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45
SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in PythonInverse problems, uncertainty quantification, digital twins
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2023
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41
An adjoint-based optimization method for jointly inverting heterogeneous material properties and fault slip from earthquake surface deformation dataDOIInverse problems, uncertainty quantification, digital twins
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40
Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma GrowthDOIInverse problems, uncertainty quantification, digital twins
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39
Derivative Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative LearningDOIInverse problems, uncertainty quantification, digital twins
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38
hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under UncertaintyDOIInverse problems, uncertainty quantification, digital twins
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36
On global normal linear approximations for nonlinear Bayesian inverse problemsLinkInverse problems, uncertainty quantification, digital twins
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35
Parallel Element-based Algebraic Multigrid for H(curl) and H(div) Problems Using the ParELAG LibraryDOIPreconditioners, multigrid and numerical upscaling
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2022
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32
A Mixed, Unified Forward/Inverse Framework for Earthquake Problems: Fault Implementation and Coseismic Slip EstimateLinkInverse problems, uncertainty quantification, digital twins
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31
A Predictive Multiphase Model of Silica Aerogels for Building Envelope InsulationsLinkInverse problems, uncertainty quantification, digital twins
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30
Computing a Projection Operator onto the Null Space of a Linear Imaging Operator: TutorialDOIImage quality assessment
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29
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEsDOIInverse problems, uncertainty quantification, digital twins
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28
Forward and inverse modeling of fault transmissibility in subsurface flowsInverse problems, uncertainty quantification, digital twins
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27
Heat-Resilient Schoolyards: Relations Between Temperature, Shade, and Physical Activity of Children During RecessData science for public health
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26
Normalization of optical fluence distribution for three-dimensional functional optoacoustic tomography of the breastPhotoacoustic computed tomography
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2021
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24
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian InferenceDOIInverse problems, uncertainty quantification, digital twins
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23
A Predictive Discrete-Continuum Multiscale Model of Plasticity With Quantified UncertaintyDOIInverse problems, uncertainty quantification, digital twins
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22
Bayesian Poroelastic Aquifer Characterization from InSAR Surface Deformation Data Part II: Quantifying the UncertaintyDOIInverse problems, uncertainty quantification, digital twins
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21
Inferring the basal sliding coefficient field for the Stokes ice sheet model under rheological uncertaintyDOIInverse problems, uncertainty quantification, digital twins
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20
Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte CarloDOIInverse problems, uncertainty quantification, digital twinsPreconditioners, multigrid and numerical upscaling
2019
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19
Multifidelity probability estimation via fusion of estimatorsDOIInverse problems, uncertainty quantification, digital twins
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18
Physical activity, sedentary time and cardiometabolic health indicators among Mexican childrenDOIData science for public health
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17
Students Tackle Bayesian Inverse Problems in the Colorado Rockies: Reflections on the 2018 Gene Golub Summer SchoolInverse problems, uncertainty quantification, digital twins
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16
Taylor approximation and variance reduction for PDE-constrained optimal control under uncertaintyDOIInverse problems, uncertainty quantification, digital twins
2018
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15
hIPPYlib: an Extensible Software Framework for Large-scale Deterministic and Bayesian Inverse ProblemsDOIInverse problems, uncertainty quantification, digital twins
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14
Nonlinear Multigrid solvers exploiting AMGe coarse spaces with approximation propertiesDOIPreconditioners, multigrid and numerical upscaling
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2017
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Numerical upscaling for incompressible flow in reservoir simulation: an element-based algebraic multigrid (AMGe) approachDOIPreconditioners, multigrid and numerical upscaling
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8
Platform and algorithm effects on computational fluid dynamics applications in life sciencesDOIComputational fluid dynamics
2016
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7
Upscaling of mixed finite element discretization problems by the spectral AMGe methodDOIPreconditioners, multigrid and numerical upscaling
2015
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2014
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5
A mixed formulation for the Brinkman problemDOIPreconditioners, multigrid and numerical upscaling
2013
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4
A block-diagonal algebraic multigrid preconditioner for the Brinkman problemDOIPreconditioners, multigrid and numerical upscaling
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3
ALADINS: An ALgebraic splitting time ADaptive solver for the Incompressible Navier--Stokes equationsDOIComputational fluid dynamics
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1
Validation of an open source framework for the simulation of blood flow in rigid and deformable vesselsDOIComputational fluid dynamics
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Also available
Conference proceedings, datasets, preprints, and software releases are listed in my curriculum vitae. Citation counts and a full record are on Google Scholar.