I work on software projects for scientific machine learning, inverse problems, optimization, and so-called "outer-loop" problems constrained by parametric partial differential equations (PDEs).
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  hippylib/hippyflowhippylib/hippyflow PublicDimension reduced surrogate construction for parametric PDE maps 
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  dinoSciML/operator_learning_introdinoSciML/operator_learning_intro PublicA collection of tutorials on operator learning. 
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  hippylib/hippylibhippylib/hippylib PublicAn Extensible Software Framework for Large-Scale Inverse Problems 
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  hessianaveraginghessianaveraging PublicImplementation of Hessian-averaged Newton methods for stochastic optimization in jax Python 4 
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  hippylib/soupyhippylib/soupy PublicStochastic Optimization under Uncertainty in Python. 
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