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  • Research Assistant II, School of Biomedical Science HKU
  • Palma de Mallorca

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mcbosch/README.md

Hi, I'm mcbosch!

About Me

I'm a mathematician with a strong academic background and a passion for programming, biology, Graph Theory, and Machine Learning. Currently, I will start working as a Research Assistant II at the Hong Kong University, in the School of Biomedical Science. I am studying how to model complex and structured data, with graph theory, statistics from a Bayesian framework and Machine Learning. If you are into projects like this count with me! Beyond academic and professional things, I am very into hicking and climbing, but GitHub it's not the place for that.

Skills

  • Python
  • SQL
  • Mathematics: more focused on Discrete Mathematics, Statistics and Topology.

Favorite Project

magnetwork

In the past year, I worked on a project about Graph Neural Networks to classify metabolic networks. To solve this problem, I needed to extend these algorithms for graphs with directed atributes; I've done this working with magnetic graphs. Studying these graphs we observed some theorical aspects that wasn't solved.

This project aims to extend the NetworkX package, to have an easy tool to work with these kind of graphs, and be able to study the open questions and new approaches to classify graphs. Also, I want to have easy functions to work with spectral information. I hope I find time soon to finish it.

Feel free to explore my repositories and connect if you share similar interests!

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  1. VAE-Tutorial-Scratch VAE-Tutorial-Scratch Public

    Here we have the basic models to build a variational autoencoder from scratch; only using numpy. Also it comes with a formal explanation and coded in a way that it's easy to modify it.

    Python

  2. MagNet-graph-clasif MagNet-graph-clasif Public

    This repository offers a Graph Neural Network for a graph classification task and analyze it's behaviour.

    Python

  3. Pendulum-with-free-frictionless-support Pendulum-with-free-frictionless-support Public

    Practice on modelling dynamics with Lagrangian equations

    Python 1

  4. graph-neural-network-for-directed-graph-classification graph-neural-network-for-directed-graph-classification Public

    Forked from qbxlvnf11/graph-neural-networks-for-graph-classification

    Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification

    Python

  5. Prediccion-oleaje Prediccion-oleaje Public

    Este repositorio corresponde a la entrega 6 de la asignatura Analisis de Datos de 4t curso de Matematicas en la UIB.

    HTML

  6. Spectra-MagNetic-Laplacian Spectra-MagNetic-Laplacian Public

    This repository explores the spectrum of the Magetic Laplacian of graphs. Analyzing some of the geometric features that this spectrum gives and opening some questions of this spectrum