Mathematics Faculty: Funded grants in the past 3 years

• Gene Expression Programs of Lactic Acidosis in Human Cancers, National Institutes of Health, R01 CA125618-01, 2006/12-2111/11     
• Dynamic imaging and tissue biomarker models to delineate indolent from aggressive breast calcifications, National Institutes of Health, 2022/09-2027/08     
• Caregiver Coaching to Improve Outcomes of Young Autistic Children in Africa, National Institutes of Health, 2022/08-2027/06     
• The Brumer-Stark Conjecture and its Refinements, National Science Foundation, 2022/07-2027/06     
• University Training Program in Biomolecular and Tissue Engineering, National Institutes of Health, 1994/07-2027/06     
• Pairing modeling and experiment to understand microtubule behavior in healthy and injured neurons, Pennsylvania State University, 2022/06-2027/04     
• Accurate, low-cost, trackerless neuronavigation for transcranial magnetic stimulation, National Institutes of Health, 2022/05-2027/02     
• QLCI - CI: Institute for Robust Quantum Simulation, University of Maryland, College Park, 2021/09-2026/08     
• QLCI - CI: Institute for Robust Quantum Simulation, University of Maryland, College Park, 2021/09-2026/08     
• New computational methods to dynamically pinpointing the subregions carrying disease-associated rare variants, National Institutes of Health, 2022/09-2026/07     
• CAREER: Representations of p-adic Groups and Different Incarnations of the Langlands Program, National Science Foundation, 2021/08-2026/07     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06     
• Simons Foundation - Math + X Investigators, Simons Foundation, 2016/07-2026/06     
• Stratifying the Heterogeneity of Autism Spectrum Disorder: Impact of Co-Occurring Anxiety and ADHD, National Institutes of Health, 2021/06-2026/05     
• A computational approach for quantifying motor behaviors in spinocerebellar ataxias to improve early detection of motor signs and precisely estimate disease severity and disease change, Massachusetts General Hospital, 2021/04-2026/03     
• A Planetary Inventory of Life - a New Synthesis Built on Big Data Combined with Novel Statistical Methods, European Research Council, 2020/04-2026/03     
• Race-related differential RNA splicing: novel targets for precision oncology in non-small cell lung cancer, National Institutes of Health, 2020/09-2025/11     
• R2 [Reciprocal Relationships]: Mentorships to Strengthen and Sustain STEM Teachers, National Science Foundation, 2020/10-2025/09     
• Learning to Prevail: Communication in Contested and Adversarial Environments, Air Force Research Laboratory, 2020/09-2025/09     
• Class Groups, Character Sums, and Oscillatory Integrals, National Science Foundation, 2022/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), National Science Foundation, 2020/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), National Science Foundation, 2020/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), National Science Foundation, 2020/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), Simons Foundation, 2020/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), Simons Foundation, 2020/09-2025/08     
• Collaborative Reseach: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET), Simons Foundation, 2020/09-2025/08     
• NRT-HDR: Harnessing AI for Autonomous Material Design, National Science Foundation, 2020/09-2025/08     
• Four-Manifolds and Categorification, National Science Foundation, 2022/08-2025/07     
• Large Deviations and Extremes for Random Matrices, Tensors, and Fields, National Science Foundation, 2022/08-2025/07     
• Science-Integrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific computing, National Science Foundation, 2022/08-2025/07     
• CAREER:Formation of Small Scales and Dissipation in Incompressible Fluids, National Science Foundation, 2020/08-2025/07     
• Quantifying Gerrymandering in the North Carolina Legislature, Imagine North Carolina First, 2022/03-2025/07     
• Four Challenging Probability Problems, National Science Foundation, 2022/07-2025/06     
• Genetic and Genomics Training Grant, National Institutes of Health, 2020/07-2025/06     
• Training Program in Bioinformatics at the Intersection of Cancer Immunology and Microbiome, National Institutes of Health, 2020/07-2025/06     
• Achieving Critical Transformations in Undergraduate Programs in Mathematics (ACT UP MATH), University of Nebraska - Lincoln, 2022/07-2025/05     
• Achieving Critical Transformations in Undergraduate Programs in Mathematics (ACT UP MATH), University of Nebraska - Lincoln, 2022/07-2025/05     
• CAREER: Scalable Approaches for Multiphysics Fluid Simulation, National Science Foundation, 2020/04-2025/03     
• Bridging Statistical Hypothesis Tests and Deep Learning for Reliability and Computational Efficiency, Georgia Tech Research Corporation, 2022/01-2024/12     
• Simplifying quantum characterization through physical symmetries, machine learning, and a top-down approach,, Army Research Office, 2020/10-2024/10     
• CIF: Small: Foundations and Applications of Blind Subgroup Robustness, National Science Foundation, 2021/10-2024/09     
• Collaborative Research: CIF: Medium: QODED: Quantum codes Optimized for the Dynamics between Encoded Computation and Decoding using Classical Coding Techniques, National Science Foundation, 2021/10-2024/09     
• Collaborative Research: CIF: Medium: QODED: Quantum codes Optimized for the Dynamics between Encoded Computation and Decoding using Classical Coding Techniques, National Science Foundation, 2021/10-2024/09     
• Learning and Explaining Information Dynamics from Overhead Imagery, National Geospatial-Intelligence Agency, 2019/09-2024/09     
• Sloan Foundation Fellowship for Tarek Elgindi in Mathematics, Alfred P. Sloan Foundation, 2020/09-2024/09     
• Data-Driven Approaches to Identify Biomarkers for Guiding Coronary Artery Bifurcation Lesion Interventions from Patient-Specific Hemodynamic Models, National Institutes of Health, 2022/09-2024/08     
• Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies, Fred Hutchinson Cancer Center, 2022/04-2024/08     
• Collaborative Research: Investigating Crack Nucleation and Growth Under Dynamic Fatigue: Application to Nano-Pulse Lithotripsy, National Science Foundation, 2021/09-2024/08     
• Collaborative Research: Dynamics, singularities, and variational structure in models of fluids and clustering, National Science Foundation, 2021/07-2024/06     
• Data-Driven Improved Space-Time Adaptive Processing (STAP) Radar, Air Force Office of Scientific Research, 2021/07-2024/06     
• NSF-BSF: Group Invariant Graph Laplacians: Theory and Computations, National Science Foundation, 2020/07-2024/06     
• Novel Approaches to Infant Screening for ASD in Pediatric Primary Care, National Institutes of Health, 2019/09-2024/06     
• Inferring the evolutionary history of admixed populations, National Institutes of Health, 2019/09-2024/06     
• CAREER: Optimization Landscape for Non-convex Functions - Towards Provable Algorithms for Neural Networks, National Science Foundation, 2019/07-2024/06     
• Duke University Program in Environmental Health, National Institutes of Health, 2013/07-2024/06     
• A1-Homotopy Theory and Applications to Enumerative Geometry, National Science Foundation, 2021/06-2024/05     
• Calibrated uncertainty quantification in statistical learning, Office of Naval Research, 2021/05-2024/05     
• Support for Southeastern Probability Conference, National Science Foundation, 2020/04-2024/03     
• Support for Southeastern Probability Conference, National Science Foundation, 2020/04-2024/03     
• Novel see and treat strategies for cervical cancer prevention in low-resource settings, National Institutes of Health, 2019/02-2024/01     
• Using Computational Fluid Dynamics to Predict Aneurysmal Degeneration of the Distal Aorta After Repair of Type A Dissection, American Heart Association, 2022/01-2023/12     
• ACRR Fuel Performance Modeling, Sandia National Laboratories, 2022/03-2023/09     
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2021/10-2023/09     
• GuArDIAN: General Active Sensing for conDItion AssessmeNt, Department of Energy, 2019/10-2023/09     
• Uncovering Population-Level Cellular Relationships to Behavior via Mesoscale Networks, National Institutes of Health, 2019/09-2023/09     
• Sloan Foundation Fellowship for Jessica Fintzen in Mathematics, Alfred P. Sloan Foundation, 2021/09-2023/09     
• Sloan Foundation Fellowship for Xiuyuan Cheng in Mathematics, Alfred P. Sloan Foundation, 2019/09-2023/09     
• Algebraic and geometric methods for clustering and classification, Princeton University, 2020/09-2023/08     
• EAGER-QAC-QSA: Resource Reduction in Quantum Computational Chemistry Mapping by Optimizing Orbital Basis Sets, National Science Foundation, 2020/09-2023/08     
• Holomorphic Invariants of Knots and Contact Manifolds, National Science Foundation, 2020/09-2023/08     
• Collaborative Research: Wettability Control on the Mechanics of Hydrocapillary Fracture, National Science Foundation, 2019/09-2023/08     
• Complex Geometric and Lie Theoretic Aspects of Hodge Theory, National Science Foundation, 2019/09-2023/08     
• IUCRC Proposal Phase 1 Duke: Center for Alternative Sustainable and Intelligent Computing (ASIC), National Science Foundation, 2018/09-2023/08     
• CAREER: Research and Training at the Intersection of Number Theory and Analysis, National Science Foundation, 1652173, 2017/09-2023/08     
• Computational Tools for Improving Stereo-EEG Implantation and Resection Surgery, National Institutes of Health, 2022/08-2023/08     
• Technology for efficient simulation of cancer cell transport, National Institutes of Health, 2020/08-2023/07     
• Topics in Mathematical Biology and Fluid Mechanics, National Science Foundation, 2020/08-2023/07     
• Algebraic Topology and Topological Data Analysis: A Conference in Honor of Gunnar Carlsson, National Science Foundation, 2022/07-2023/06     
• Computational Forward and Inverse Radiative Transfer, National Science Foundation, 2020/07-2023/06     
• Innovation of Numerical Methods for High-Dimensional Problems, National Science Foundation, 2020/07-2023/06     
• Natural Selection in Admixed Populations, National Institutes of Health, 2020/07-2023/06     
• Small Scale and Singularity Formation in Fluids, National Science Foundation, 2020/07-2023/06     
• Special Holonomy In Geometry, Analysis and Physics, Simons Foundation, 2020/07-2023/06     
• Special Holonomy In Geometry, Analysis and Physics, Simons Foundation, 2020/07-2023/06     
• Digital Behavioral Outcome Measures for Autism, Simons Foundation Autism Research Initiative, 2019/07-2023/06     
• Summation Formulae and Triple Product L-functions in Higher Rank, National Science Foundation, 2019/07-2023/06     
• Geometric and Topological Methods for Multi-Modal Data Analysis and Fusion, Air Force Office of Scientific Research, FA9550-18-1-0266, 2018/06-2023/06     
• Geometric and Topological Methods for Multi-Modal Data Analysis and Fusion, Air Force Office of Scientific Research, FA9550-18-1-0266, 2018/06-2023/06     
• Postdoctoral Training in Genomic Medicine Research, National Institutes of Health, 2017/06-2023/05     
• Learning Utility-Preserving Private, Fair, and Invariant Representations, Office of Naval Research, 2020/05-2023/05     
• Statistical inference of the demographic consequences of agriculture worldwide, National Science Foundation, 2020/05-2023/04     
• Fundamentals and Applications in Learned Information Representation, Office of Naval Research, 2020/04-2023/04     
• Structured nonparametric methods for mixtures of exposures, National Institutes of Health, 1R01-ES028804-01, 2018/03-2023/02     
• Efficient Methods for Calibration, Clustering, Visualization and Imputation of Large scRNA-seq Data, Yale University, 2019/05-2023/01     
• Measuring arterial material properties using wave-based approaches with ultrasound and computational models, Mayo Clinic, 2019/01-2022/12     
• An Integrated Experimental and Computational Investigation of Fragmentation in Transparent Polymers, Army Research Office, W911NF-18-2-0119, 2018/07-2022/12     
• Cohesive Phase Field Modeling of Fractures in Wellbore Cement, Lawrence Livermore National Laboratory, 2021/12-2022/09     
• Computational Algorithms for Dynamic Fracture, Sandia National Laboratories, 2019/10-2022/09     
• CIF: Small: Improving Quantum Computing and Classical Communication using Discrete Sets of Unitary Matrices, National Science Foundation, 2019/10-2022/09     
• CIF: Small: Improving Quantum Computing and Classical Communication using Discrete Sets of Unitary Matrices, National Science Foundation, 2019/10-2022/09     
• FET: Small: Efficient Inference Tools for Quantum Systems: Algorithms, Applications, and Analysis, National Science Foundation, 2019/10-2022/09     
• FET: Small: Efficient Inference Tools for Quantum Systems: Algorithms, Applications, and Analysis, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09     
• CPS: Medium: Collaborative Research: Smart Ultrasound Elastography for Improved Medical Imaging, National Science Foundation, 2018/10-2022/09     
• Learning Privacy for the Internet of Visual Things, Cisco Systems, Inc, 2018/06-2022/09     
• Quantum Computing in Chemical and Material Sciences, Department of Energy, 2018/09-2022/09     
• Comparative Modeling for the Prevention and Control of Uterine Cancer, Columbia University, 2021/09-2022/08     
• ZioXTPatch data in ARIC, Johns Hopkins University, 2021/09-2022/08     
• Small Scale and Singularity Formation in Fluid Mechanics and Biology, Simons Foundation, 2020/06-2022/08     
• Administrative Supplement: SCH: INT: Computational Tools for Avoidant/Restrictive Food Intake Disorder, National Institutes of Health, 2019/09-2022/08     
• NSF - IGE: Enhancing Data Skills and Professional Readiness through Vertically-Integrated Interdisciplinary Data Science Capstone Projects, National Science Foundation, 2018/09-2022/08     
• The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk, National Institutes of Health, 2018/09-2022/08     
• CIF: AF: Small: Foundations of Multimodal Information Integration, National Science Foundation, 1712867, 2017/09-2022/08     
• The Foundations of Dynamic Drone-based Threat Detection, National Science Foundation, 1737744, 2017/09-2022/08     
• Instanton Decay and Nonlinear Harmonic Forms, Simons Foundation, 3553857, 2015/09-2022/08     
• Singularity Formation and Propagation in Incompressible Fluids, National Science Foundation, 2021/03-2022/07     
• Duke Girls Exploring Math (DukeGEM), Mathematical Association of America, 2021/01-2022/07     
• Tailoring treatment targets for early autism intervention in Africa, National Institutes of Health, 2019/08-2022/07     
• Beyond L-functions: the Eisenstein Cocycle and Hilbert's 12th Problem, National Science Foundation, 2019/08-2022/07     
• Reproducibility and Robustness of Dimensionality Reduction, National Institutes of Health, 2017/09-2022/07     
• The Physiological Basis of Allometry, National Science Foundation, IOS-1557341, 2016/08-2022/07     
• Large-scale Azure Workloads and GPU Acceleration in Computational Hemodynamics Research, Microsoft Corporation, 2022/02-2022/06     
• Thermo-Mechanical Tire-Pavement Interaction: Computational Modeling and Field Measurements (ThermoSkid), Khalifa University, 2020/07-2022/06     
• Multitype Particle Systems, National Science Foundation, 2019/07-2022/06     
• Multitype Particle Systems, National Science Foundation, 2019/07-2022/06     
• CRCNS: Geometry-based Brain Connectome Analysis, National Institutes of Health, 1R01-MH118927-01, 2018/09-2022/06     
• CDS&E: Structure-aware Representation Learning using Deep Networks, National Science Foundation, DMS-NSF-1820827-01, 2018/07-2022/06     
• Collaborative Research: Geometric Analysis and Computation of Generative Models, National Science Foundation, DMS-1818945, 2018/07-2022/06     
• Collaborative Research: Nonlocal models of aggregation and dispersion, National Science Foundation, DMS-1812573-year 1, 2018/07-2022/06     
• Regularity, blow up and mixing in fluids, National Science Foundation, 2018/07-2022/06     
• Voters, games, and epidemics on random graphs, National Science Foundation, DMS-1809967, 2018/07-2022/06     
• Complex Geometric and Lie Theoretic Aspects of Hodge Theory, National Science Foundation, DMS-1611939, 2016/07-2022/06     
• Building a streamlined birth cohort to study autism risk factors and biomarkers, Drexel University, 2020/01-2022/05     
• AF:Large:Collaborative Research:Nonconvex methods and models for learning: Towards algorithms with provable and interpretable guarantees, National Science Foundation, 1704656, 2017/06-2022/05     
• Collaborative Research: SI2-SSI: ELSI-Infrastructure for Scalable Electronic Structure Theory, National Science Foundation, 1450280, 2015/06-2022/05     
• Career: Etale amd Motivic Homotopy Theory and Applications to Arithmetic Geometry, National Science Foundation, 2019/07-2022/04     
• Low-Dimensional topology, Floer Homology, and Categorification, National Science Foundation, DMS-1806437-year 1, 2017/07-2022/04     
• REU Site for Meeting the Grand Challenges in Engineering, National Science Foundation, 2017/05-2022/04     
• REU Site for Meeting the Grand Challenges in Engineering, National Science Foundation, 2017/05-2022/04     
• Modeling to Minimize Detection Bias in Cancer Risk Prediction Studies, Fred Hutchinson Cancer Research Center, 2019/09-2022/03     
• An Integrated Nonparametric Bayesian and Deep Neural Network Framework for Biologically-Inspired Lifelong Learning, Defense Advanced Research Projects Agency, 2018/02-2022/03     
• Duke Expanded Access Protocol Proposal for the Cord Blood Association Foundation, Cord Blood Association Foundation, 2020/01-2021/12     
• Novel anatomy-physiology guided diagnostic metric for complex coronary lesions, American Heart Association, 2020/01-2021/12     
• Cohesive Phase Field Modeling of Fractures in Wellbore Cement, Lawrence Livermore National Laboratory, 2020/09-2021/10     
• Modeling Fracture and Spallation of Oxide Scale on High Temperature Heat Exchangers, Idaho National Laboratory, 2021/04-2021/09     
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2020/10-2021/09     
• Rossman Alfred P. Sloan Foundation Fellowship (transfer), Alfred P. Sloan Foundation, 2020/01-2021/09     
• Ge Sloan Fellowship 2019, Alfred P. Sloan Foundation, 2019/09-2021/09     
• Quantum Computing in Chemical and Material Sciences, Department of Energy, 2018/09-2021/09     
• Holomorphic Invariants in Symplectic Topology, National Science Foundation, DMS-1707652, 2017/09-2021/08     
• GitPaper: A Networked Model of Scientific Review and Dissemination, Office of Naval Research, N00014-17-1-2781, 2017/09-2021/08     
• Probabilistic learning of structure in complex data, Office of Naval Research, N00014-17-1-2844, 2017/09-2021/08     
• Bioinformatics and Computational Biology Training Program, National Institutes of Health, 2005/07-2021/08     
• Bioinformatics and Computational Biology Training Program, National Institutes of Health, 2005/07-2021/08     
• Bioinformatics and Computational Biology Training Program, National Institutes of Health, 2005/07-2021/08     
• CIF: Small: Capacity via Symmetry, National Science Foundation, 1718494, 2017/08-2021/07     
• CIF: Small: Capacity via Symmetry, National Science Foundation, 1718494, 2017/08-2021/07     
• Learning and Privacy in a Closed Environment, Office of Naval Research, N00014-18-1-2143-01, 2018/02-2021/06     
• Bioinformatics and Computational Biology Training Program, National Institutes of Health, 2005/07-2021/06     
• Design, Prototyping and Evaluation of Next Generation Public Safety User Interfaces, University of North Carolina - Greensboro, 2019/09-2021/05     
• Collaborative research: Propagation of dissipation: Stochastic stabilization in finite and infinite dimensions, National Science Foundation, 1613337, 2016/06-2021/05     
• Development and Applications of Non-Archimedean Analytic Geometry and Tropical Geometry, National Science Foundation, 2019/07-2021/04     
• Scalable probabilistic inference for huge multi-domain graphs, Alibaba Innovative Research, 2017/11-2021/04     
• CAREER: The effects of centralized and decentralized sequential decisions on system performance, National Science Foundation, 1553274, 2016/05-2021/04     
• An in vivo voltammetric serotonin biomarker for antidepressant efficacy, University of South Carolina, 16-3129, 2016/06-2021/03     
• 3D Bioprinted Aneurysm for Intervention Modeling Validation, Lawrence Livermore National Laboratory, 2019/01-2020/12     
• BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees, National Science Foundation, 1546130, 2015/11-2020/10     
• BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees, National Science Foundation, 1546130, 2015/11-2020/10     
• Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort, Breast Cancer Research Foundation, 2019/10-2020/09     
• Cohesive Phase Field Modeling of Fractures in Wellbore Cement, Lawrence Livermore National Laboratory, 2019/05-2020/09     
• Sloan Foundation Fellowship for Lillian Pierce in Mathematics, Alfred P. Sloan Foundation, FG-2018-10749-year 1, 2018/09-2020/09     
• Predicting Performance from Network Data, U.S. Army Research Institute for the Behavioral and Social Sciences, W911NF-16-1-0544, 2016/09-2020/09     
• Algebraic and Geometric Methods In Data Analysis, National Science Foundation, 1702395, 2017/09-2020/08     
• CIF:Small:High Performance Memories that Integrate Coding and Computer Architecture, National Science Foundation, CCF-1717602, 2017/09-2020/08     
• New methods for quantitative modeling of protein-DNA interactions, National Institutes of Health, 2015/09-2020/08     
• CAREER: Research and training in advanced computational methods for quantum and statistical mechanics, National Science Foundation, DMS-1454939, 2015/09-2020/08     
• New Approaches for Better Spatial Frequency Localization in 2 and 3-Dimensional Data Analysis, National Science Foundation, 1516988, 2015/09-2020/08     
• Toward coupled multiphysics models of hemodynamics on leadership systems, National Institutes of Health, 7DP5-OD019876-02, 2014/09-2020/08     
• Duke University Noyce Scholarship - Phase II, National Science Foundation, 2013/09-2020/08     
• Identification and validation of plasma-based protein biomarkers for cediranib and olaparib, Leidos Biomedical Research, Inc., 2019/09-2020/08     
• Modern Tools for Classification and Clustering, Princeton University, 2017/08-2020/07     
• IAS/Park City Mathematics Institute, Institute for Advanced Studies, 7449-2305, 2014/09-2020/07     
• Universal Teichmuller Motives, National Science Foundation, DMS-1406420, 2014/08-2020/07     
• Explainability and Trade Secrecy in AI-Enabled Clinical Decision Support, Diagnostic, and Predictive Software, Greenwall Foundation, 2019/01-2020/06     
• Bayer Sponsored Research Agreement, Bayer Pharmaceuticals, 2018/09-2020/06     
• A hands-on, integrative next-generation sequencing course: design, experiment, and analysis, National Institutes of Health, 2016/09-2020/06     
• Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2020/06     
• Mathematical Analysis of Spatial Cancer Models, National Science Foundation, 1614838, 2016/07-2020/06     
• Special Holonomy In Geometry, Analysis and Physics, Simons Foundation, 347349, 2016/07-2020/06     
• Special Holonomy in Geometry, Analysis, and Physics, Simons Foundation, 2016/07-2020/06     
• CAREER: Research and training in stochastic dynamics, National Science Foundation, DMS-1351653, 2014/07-2020/06     
• Training in Medical Imaging, National Institutes of Health, 2003/07-2020/06     
• Training in Medical Imaging, National Institutes of Health, 2003/07-2020/06     
• Training in Medical Imaging, National Institutes of Health, 2003/07-2020/06     
• Collaborative Research: Computational Mechanics Vision Workshop, National Science Foundation, 2019/06-2020/05     
• Unraveling Kidney Physiology, Pathophysiology & Therapeutics: A Modeling Approach, National Institutes of Health, 1R01-DK106102-01A1, 2016/05-2020/04     
• Dimension Reduction for Open Quantum Systems, Stanford University, 2016/04-2020/03     
• Statistical/Computational Methods for Pharmacogenomics and Individualized Therapy, University of North Carolina - Chapel Hill, 2015/05-2020/03     
• Student Support: IEEE Cluster 2018 Conference, National Science Foundation, OAC-1814225, 2018/05-2020/02     
• Network Inference and Analysis of Big Dynamic Data, National Geospatial-Intelligence Agency, HM04761610001, 2016/02-2020/01     
• CAREER Award, NSF, 2003/09  [web]    
• Bound states, singularities, and supersymmetry, NSF, 2002/07