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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The University of Texas at Austin
- Austin, TX
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hippylib/hippyflow
hippylib/hippyflow PublicDimension reduced surrogate construction for parametric PDE maps
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hippylib/hippylib
hippylib/hippylib PublicAn Extensible Software Framework for Large-Scale Inverse Problems
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hessianlearn
hessianlearn PublicHessian-based stochastic optimization in TensorFlow and keras
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hippylib/soupy
hippylib/soupy PublicStochastic Optimization under Uncertainty in Python.
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MatrixFreeNewton.jl
MatrixFreeNewton.jl PublicPrototyping of matrix free Newton methods in Julia
Julia 7
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