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Florian Pelissier Quintet - Coup de foudre à Thessalonique
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Florian Pelissier Quintet - Coup de foudre à Thessalonique
52 followers · 76 following

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Achievement: StarstruckAchievement: Arctic Code Vault Contributor

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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.

Would you like to support my efforts in creating open-source science and education? As a supporter, you gain access to extra materials on being a researcher, making effective graphics, academic writing, life-long learning, and the like! Many thanks for your support! 🚀

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

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  1. PCAfold PCAfold Public

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

    Python 12 5

  2. 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 6 3

  3. 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

  4. nonlinear-decoding nonlinear-decoding Public

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

    Jupyter Notebook 4 1

  5. local-manifold-learning local-manifold-learning Public

    Code and materials for the "Local manifold learning and its link to domain-based physics knowledge" paper.

    Jupyter Notebook 1 1

  6. pv-optimization pv-optimization Public

    Code and materials for the paper "Optimizing progress variables for ammonia/hydrogen combustion using encoding-decoding networks".

    Jupyter Notebook