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leoTiez/README.md

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(c) Photo by National Cancer Institute on Unsplash

Hi there,

I'm Leo, passionate developer and particularly interested in harnessing biological principles for machine learning & AI. My experience stems from my work on modelling complex biological systems, among others DNA repair mechanisms, cross-species comparison of gene regulation, and neuronal processing. I use a lot of Python in my projects, but I've been working with a large variety of different languages, among others R, Java, JavaScript, C++, Solidity, and Julia.

Check out my research projects. The highlights are listed below.

Contact me on [email protected].

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  1. jmak jmak Public

    Model to find the relationship between DNA repair and biological cellular properties using the JMAK model

    Jupyter Notebook

  2. Dynamical-consequences-of-long-range-patchy-connections-in-the-neocortex Dynamical-consequences-of-long-range-patchy-connections-in-the-neocortex Public

    This is the repository for my thesis work about investigating the dynamical consequences of long-range patchy connections in the neocortex, in particular the visual cortex V1.

    Python 1 1

  3. parameter-search-reaction-diffision parameter-search-reaction-diffision Public

    Optimisation approach to derive parameters of a reaction-diffusion system based on data points

    Jupyter Notebook

  4. htmresearch htmresearch Public

    Forked from numenta/htmresearch

    Experimental algorithms. Unsupported.

    HTML 1

  5. ChromReD4 ChromReD4 Public

    Reaction-diffusion system for Rad4 and chromatin structures in the nucleus

    Python

  6. nfree nfree Public

    Calculate the size of nucleosome free regions (NFR)

    Python