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Hi👋🏼, I'm Katiana!👩🏻‍💻

  • 🌽 I am a Data Scientist at Bayer Crop Science R&D
  • 🌱 I research artificial intelligence (AI) methods for the discovery and design of high-performinig crops
  • 🖥️ I have developed and maintain several open-source libraries (more on that here!)
  • 👥 For more information check out my personal website.

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Katiana Kontolati's Projects

cdar icon cdar

The source code for "Deep transfer learning for conditional shift in regression"

computervision-rd-ams-s21 icon computervision-rd-ams-s21

Codes of the Computer Vision team for the ''Research and Design in Applied Mathematics: Data Mining'' class (Spring 2021, Johns Hopkins University).

gdm-pce icon gdm-pce

Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".

grassmannianego icon grassmannianego

Source code of "Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids".

hamiltorch icon hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

katiana22_old icon katiana22_old

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

latent-deeponet icon latent-deeponet

Codes for implementing Latent DeepONet for learning operators in latent spaces.

tl-deeponet icon tl-deeponet

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

uq4chemcam icon uq4chemcam

Codes for "Neural Density Estimation and Uncertainty Quantification for Laser Induced Breakdown Spectroscopy Spectra".

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