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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.

Martin Palazzo's Projects

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kernel_methods icon kernel_methods

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

pancancer_somatic_autoencoder icon pancancer_somatic_autoencoder

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.

pertgen icon pertgen

Python code to generate a PERT graph and Gantt chart given a task schedule

practicals-2019 icon practicals-2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

primeros_pasos_python icon primeros_pasos_python

Este repositorio fue creado con el fin de ser utilizado en cursos donde se deba enseñar Python desde el comienzo y donde no exista el tiempo suficiente para dedicar a los primeros pasos.

probabilistic_cluster_kernel icon probabilistic_cluster_kernel

This is the Python code of the Probabilistic Cluster Kernel published at "Spectral clustering with the probabilistic cluster kernel" paper by Izquierdo-Verdiguier et Al.

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