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Art Ensemble of Chicago - Thème De Yoyo
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Art Ensemble of Chicago - Thème De Yoyo
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Achievement: StarstruckAchievement: Arctic Code Vault Contributor
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@burn-research
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kamilazdybal/README.md
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print('Howdy, Universe!')

I'm a postdoctoral researcher in the Computational Engineering lab at Empa 🇨🇭. In my research, I combine machine learning and data-driven modeling with fluid dynamics. I develop tools and algorithms that help understand high-dimensional datasets and model high-dimensional systems with computational efficiency.

Ongoing projects:

► I create YouTube tutorials called Python for Academics where I teach how to automate your daily academic life. Check out 🎓 this repository for a bunch of Jupyter notebooks and Python scripts helpful in your academic adventure!

► I contribute to developing PCAfold, an open-source Python library for generating, analyzing and improving low-dimensional manifolds. Check out our SoftwareX publication and check out the tutorial videos on PCAfold.

► I develop multipy, an educational Python library intended to support your learning of multicomponent mass transfer.

News:

► Check out the recent interview with me!

► My Ph.D. work has just been awarded the 18th ERCOFTAC da Vinci prize! My Ph.D. dissertation is freely available here: Reduced-order modeling of turbulent reacting flows using data-driven approaches.

► Our new paper Improving reduced-order models through nonlinear decoding of projection-dependent outputs is out in the journal Patterns from Cell Press!

Keep calm and $\frac{\partial \rho Y_i}{\partial t} = - \nabla \cdot (\rho Y_i \mathbf{v}) - \nabla \cdot \mathbf{j}_i + \omega_i$!

Pinned

  1. PCAfold PCAfold Public

    Low-dimensional PCA-derived manifolds and everything in between!

    Python 12 4

  2. multipy multipy Public

    multipy: Python library for multicomponent mass transfer

    Python 2

  3. python-for-academics python-for-academics Public

    Python for Academics is a series of coding tutorials where you will learn how to automate your everyday academic life with Python.

    Jupyter Notebook 5 3

  4. cost-function-manifold-assessment cost-function-manifold-assessment Public

    Jupyter notebooks associated with the publication "Cost function for low-dimensional manifold topology assessment".

    Jupyter Notebook 7

  5. nonlinear-decoding nonlinear-decoding Public

    Code and materials for the paper "Improving reduced-order models through nonlinear decoding of projection-dependent outputs".

    Jupyter Notebook 3 1

  6. manifold-informed-state-vector-subset manifold-informed-state-vector-subset Public

    Code and materials for the "Manifold-informed state vector subset for reduced-order modeling" paper.

    Jupyter Notebook 1