Skip to content
View martinepalazzo's full-sized avatar
💭
high dimensional space
💭
high dimensional space

Organizations

@clusterai @investigacion-operativa

Block or report martinepalazzo

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
martinepalazzo/README.md

My name is Martin Palazzo from Buenos Aires, Argentina. I am interested in graph and network processing using representation learning approaches with applications in Operational Research and Molecular Biology domains. Actually I lead an Artificial Intelligence team in the Biotechnology Industry for biomanufacturing technology development at Stamm Biotech. In paralel I teach and develop courses for grad students about Operational Research and Machine Learning at Universidad de San Andres and Universidad Tecnologica Nacional Buenos Aires.

Previously I developed a thesis named Dimension reduction in biomedical tumor profiles: a machine learning approach in the context of the co-tutelle PhD in Engineering program between the Universite de Technologie de Troyes, Universidad Tecnologica Nacional Buenos Aires and Biomedicine Research Institute of Buenos Aires - Max Planck Partner Institute. This thesis is based in the proposal of multiples statistical methods for dimension reduction using Neural Networks and Kernel Methods with applications in multi-omic data from a pan-cancer landscape of tumor profiles.

Previously I have been studying community detection in dynamic spatio-temporal graphs during the Optimization and Security of Complex systems master degree at Universite de Technologie de Troyes.

During my industrial engineer degree I have worked in domains such as automotive, massive consumption, internet, energy and music.

You can contact me by twitter @boardsofdata.

Pinned Loading

  1. investigacion-operativa/pyOperativ investigacion-operativa/pyOperativ Public

    Investigacion Operativa 2022 - UTN FRBA - Ingenieria Industrial - Repositorio con casos de estudio y ejercicios en python

    Jupyter Notebook 32 18

  2. pancancer_somatic_autoencoder pancancer_somatic_autoencoder Public

    The autoencoder architecture used in the paper 'A pancancer somatic mutation embedding using autoencoders' https://link.springer.com/article/10.1186/s12859-019-3298-z.

    Python 1

  3. kernel_methods kernel_methods Public

    Resources for Kernel Methods: Kernel Alignment, Maximum Mean Discrepancy, Gram Matrix.

    Python 7 1

  4. dimensionality_reduction dimensionality_reduction Public

    Dimension reduction methods on tumor profile gene expression data.

    Jupyter Notebook 1

  5. image_processing_experiments image_processing_experiments Public

    Jupyter Notebook

  6. clusterai/Ciencia-de-Datos-UTN-FRBA clusterai/Ciencia-de-Datos-UTN-FRBA Public

    Jupyter Notebook 11 5