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danbetea/README.md
  • 👋 Hi, my name is Dan Betea (@danbetea). I am a research and data scientist with degrees in mathematics (PhD) and computer science (BS). On this page I'll post small pieces of code that might be useful to the (statistical/machine learning/mathematical/physical/programming) community; languages included are Julia, Mathematica, Python, C/C++, and perhaps others.

  • 👀 My current interests, in order, are:

    • machine/statistical learning;
    • data science;
    • adjacent subjects like simulations (e.g. Markov Chain Monte Carlo) and numerical methods therein;
    • probability and statistics, mathematical physics, (algebraic) combinatorics.
  • I am currently looking for new challenges in the industry. If you want to get in touch, see email below.

  • 💞️ I’m also always looking for collaborators on various aspects and projects from my interests listed above. Topics include:

    • regression and classification models;
    • transfer lerning (e.g. particular applications of neural style transfer to various fields);
    • simulations and numerical aspects of various models in statistical mechanics and physics and adjancent fields;
    • random sampling methods and Markov Chain Monte Carlo techniques.
  • 📫 How to reach me : firstName DOT lastName AT outlook DOT com.

Pinned Loading

  1. BetaEnsemblesSampling.jl BetaEnsemblesSampling.jl Public

    Eigenvalue sampling from classical beta random matrix and log gas ensembles

    Julia 1

  2. tracy_widom tracy_widom Public

    Tracy--Widom GUE and GOE distributions in Mathematica using the Bornemann Fredholm method

    Mathematica

  3. nst-experiments nst-experiments Public

    Neural style transfer experiments at human scale

    Jupyter Notebook

  4. coupling-from-the-past coupling-from-the-past Public

    Generates uniformly random alternating sign matrices using coupling from the past

    C++ 2 1