Selected Talks

A selection of invited seminars and conference talks. A full list is available in my curriculum vitae.

• Manifold-valued data: classification, clustering, and embeddings. Texas A&M University Corpus Christi, TX, 2026.
• Principled computational methods informed by Riemannian geometry. Rice University, Houston, TX, 2026.
• Principled algorithms for model- and data-driven discovery. HPE Data Science Institute, University of Houston, 2026.
• Tensor-based surrogate models for digital twin applications in brain cancer dynamics. JMM26, Washington, DC, 2026.
• Scalable and principled algorithms for scientific computing and data-enabled discovery. Tufts University, Medford, MA, 2025.
• Fast algorithms for inverse transport problems. Texas Tech University, Lubbock, TX, 2025.
• A generalized alternating nonlinear GMRES acceleration method. SIAM TX-LA, UT Austin, 2025.
• Numerical methods for PDE-based diffeomorphic image registration. SIAM AN25, Montreal, Canada, 2025.
• CLAIRE: Constrained large deformation diffeomorphic image registration. ICCOPT, USC, Los Angeles, CA, 2025.
• Data- and model-driven approaches for solving inverse problems. SciML Summer School, Texas A&M, 2025.
• Bayesian inference for large scale inverse problems governed by hyperbolic dynamical systems. SIAM CSE25, Fort Worth, TX, 2025.
• Efficient numerical methods for inverse problems governed by transport equations. DTE & AICOMAS, Paris, FR, 2025.
• Deep learning for Bayesian inverse problems governed by nonlinear ODEs. SIAM MDS24, Atlanta, GA, 2024.
• Fast iterative methods for large-scale initial value control problems. SIAM TX-LA, Baylor University, Waco, TX, 2024.
• Fast iterative methods for large-scale initial value control problems. MOPTA, Lehigh University, Bethlehem, PA, 2024.
• Efficient numerical schemes for uncertainty quantification in diffeomorphic image registration. CMBE24, Arlington, VA, 2024.
• CLAIRE: Scalable algorithms for diffeomorphic image registration. SIAM IS24, Atlanta, GA, 2024.
• Fast iterative solvers for initial value control problems. INFORMS Optimization Society Conference, Rice University, Houston, TX, 2024.
• CLAIRE: Scalable algorithms for diffeomorphic image registration. SIAM UQ24, Trieste, IT, 2024.
• Efficient algorithms for inverse problems governed by dynamical systems. University of Houston, 2023.
• Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. USNCCM17, Albuquerque, NM, 2023.
• Shape classification through the lens of geodesic flows of diffeomorphisms. BIRS Workshop, BC, Canada, 2023.
• Scalable algorithms for inverse problems governed by dynamical systems. HPE Data Science Institute, UH, 2023.
• Deep neural networks for Bayesian inverse problems governed by nonlinear ODEs. INdAM Workshop, Rome, IT, 2023.
• Fast algorithms for PDE-constrained optimization under uncertainty. SIAM OP23, Seattle, US, 2023.
• Efficient numerical methods for optimal control problems governed by geodesic flows of diffeomorphisms. Virginia Tech, 2023.
• Efficient numerical methods for optimal control problems governed by geodesic flows of diffeomorphisms. Texas A&M, CAMDA, 2023.
• Fast algorithms for optimal control problems governed by geodesic flows of diffeomorphisms. University of Kansas, 2023.
• Numerical methods for PDE-constrained optimization problems governed by hyperbolic equations. University of Puerto Rico, Mayaguez, 2023.
• Fast algorithms for inverse problems governed by transport equations. AMS Southeastern Sectional, Atlanta, GA, 2023.
• CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D. NIST, Boulder, CO, 2023.
• Deep learning for Bayesian inverse problems governed by nonlinear differential equations. SIAM CSE23, Amsterdam, NL, 2023.
• Scalable algorithms for diffeomorphic image registration. Dagstuhl Seminar, Wadern, DE, 2023.
• CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration. JMM23, Boston, MA, 2023.
• Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. George Mason University, 2022.
• Fast algorithms for diffeomorphic image registration. SIAM TX-LA, Houston, TX, 2022.
• Randomized algorithms for efficient preconditioning and uncertainty quantification in inverse transport problems. SIAM MDS22, San Diego, CA, 2022.
• Fast algorithms for initial value control problems in diffeomorphic registration. Copper Mountain Conference, 2022.
• Fast algorithms for initial value control problems. SIAM IS22, 2022.
• CLAIRE: Scalable multi-GPU algorithms for diffeomorphic registration in 3D. SIAM OP21, 2021.
• Uncertainty quantification in diffeomorphic image registration. SIAM AN21, 2021.
• Uncertainty quantification for inverse transport problems. SIAM CSE21, 2021.
• Fast algorithms for nonlinear optimal control of geodesic flows of diffeomorphisms. Oden Seminar, UT Austin, 2021.
• Statistical analysis of shapes and shape deformations in 3D. JMM, 2021.
• Classification of 3D shapes and shape deformations. SIAM TX-LA, 2020.
• Fast GPU-accelerated diffeomorphic image registration in 3D. SIAM IS20, 2020.
• Automatic classification of 3D shapes and shape deformations. SIAM MDS20, 2020.
• Estimating oncogenic parameters via biophysical brain tumor growth modeling. Society for Neuro-Oncology, Phoenix, AZ, 2019.
• Fast GPU-accelerated diffeomorphic image registration in 3D. SIAM TX-LA, SMU, Dallas, TX, 2019.
• Fast algorithms for nonlinear optimal control for diffeomorphic registration. RICAM Workshop, Linz, AT, 2019.
• Uncertainty quantification in nonlinear optimal control problems for diffeomorphic registration. AMS Sectional, UW-Madison, 2019.
• Fast algorithms for nonlinear optimal control for diffeomorphic registration. University of Twente, NL, 2019.
• Fast diffeomorphic image registration in 3D. ICIAM, Valencia, ES, 2019.
• Fast algorithms for initial value control problems in diffeomorphic image registration. AIP Conference, Grenoble, FR, 2019.
• Diffeomorphic shape matching: Fast algorithms for non-linear optimal control problems. ENS Paris-Saclay, Cachan, FR, 2019.
• Optimal control of PDEs: Application to brain tumor modeling. AMS Southeastern Sectional, U of Arkansas, 2018.
• Fast algorithms for inverse transport problems. SIAM Annual Meeting, Portland, OR, 2018.
• CLAIRE: A parallel solver for constrained diffeomorphic image registration. Mint Medical GmbH, Heidelberg, DE, 2018.
• Parallel algorithms for hyperbolic PDE-constrained optimization problems. PMAA, ETH Zurich, 2018.
• CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration. U of Stuttgart, 2018.
• CLAIRE: A parallel solver for constrained large deformation diffeomorphic image registration. SIAM IS, Bologna, IT, 2018.
• Computational mathematics meets medicine: Formulations, numerics, and parallel computing. Emory University, 2018.
• CLAIRE: A distributed-memory solver for constrained diffeomorphic image registration. Rice University, 2018.
• Parallel algorithms for optimal control based diffeomorphic image registration. SIAM Houston Imaging Sciences Symposium, 2017.
• Preconditioners for the reduced space Hessian in hyperbolic optimal control problems. Preconditioning Conference, Vancouver, Canada, 2017.
• A distributed-memory Newton-Krylov solver for inverse transport problems. USNCCM, Montreal, Canada, 2017.
• A distributed-memory Newton-Krylov solver for constrained diffeomorphic image registration. AIP Conference, Hangzhou, CN, 2017.
• Parallel algorithms for PDE-constrained optimization problems with hyperbolic constraints. SIAM CSE, Atlanta, GA, 2017.
• PDE-constrained optimization and high-performance computing meets medicine. University of Houston, 2016.
• A parallel solver for inverse transport problems. Emory University, 2016.
• Fast solvers for constrained diffeomorphic image registration. SIAM IS, Albuquerque, NM, 2016.
• Fast algorithms for diffeomorphic image registration. OCIP Workshop, TU Munich, 2016.
• Efficient evaluation of Hessian operators arising in large-scale inverse transport problems. SIAM UQ, Lausanne, CH, 2016.
• Numerical simulation and optimization in medical imaging. University of Hamburg, 2015.
• Efficient algorithms for optimal control based diffeomorphic image registration. OCIP Workshop, TU Munich, 2015.
• Efficient algorithms for physically constrained diffeomorphic image registration. SIAM CSE, Salt Lake City, UT, 2015.
• Optimal control meets medical imaging sciences. TU Munich, 2015.
• Efficient algorithms for inverse transport problems. U of Luebeck, 2014.
• Computational tools in neuroimaging. SIEMENS Molecular Imaging, Oxford, UK, 2012.
• Personalised image-based modelling of brain tumour progression. UMC Hamburg-Eppendorf, 2012.
• Image-based modeling of brain tumour progression. SIAM IS, Philadelphia, PA, 2012.
• Image-based modelling of tumor growth. University of Luebeck, 2011.
• From image registration to bio-physical modelling. University of Applied Sciences Kiel, DE, 2010.
• A mathematical toolbox for the description of brain cancer dynamics. DKFZ, Heidelberg, DE, 2010.
• Image registration with application to neuroradiology. University of Luebeck, DE, 2008.
• Image registration with application to brain tumour imaging. University of Luebeck, 2007.
• Analysis of brain tumour growth via non-parametric non-rigid image registration. Philips Research Europe, Hamburg, DE, 2007.