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/hippyflow
hippylib/hippyflow PublicDimension reduced surrogate construction for parametric PDE maps
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dinoSciML/operator_learning_intro
dinoSciML/operator_learning_intro PublicA collection of tutorials on operator learning.
Jupyter Notebook 3
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hippylib/hippylib
hippylib/hippylib PublicAn Extensible Software Framework for Large-Scale Inverse Problems
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hessianaveraging
hessianaveraging PublicImplementation of Hessian-averaged Newton methods for stochastic optimization in jax
Python 4
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hippylib/soupy
hippylib/soupy PublicStochastic Optimization under Uncertainty in Python.
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