About me

I am Julián Alvarez de Giorgi, an AI enthusiast with a robust theoretical foundation in statistics and the core principles of artificial intelligence, complemented by extensive hands-on experience in real-world applications. My expertise lies in computer vision, image analysis, and signal processing, where I excel in transforming complex problems into innovative, impactful solutions.

My goal is to leverage and adapt advanced AI tools to address challenging real-world scenarios, creating technologies that deliver meaningful and lasting impact.This portfolio serves as a testament to my experience, showcasing the projects and achievements that reflect my dedication to advancing AI technologies.

Recent Work

Automating the Detection of Social Behaviors in Mice

A Deep Learning Approach for Social Interaction Tests (SIT) Analysis.

Community detection in graphs

Community detection with Stochastic Block Model and Newman-Leicht Mixture Model..

Molecule Retrieval with Natural Language Queries

Retrieve molecules, represented as graphs, from natural language queries.

PyTorch implementation of CayleyNets

Graph Convolutional Neural Network with complex rational spectral filters proposed by Levie et al.2017.

Cardiac Pathology Prediction

The diagnosis is done from two MRI images of the end of systole and the end of diastole and the height and weight of the patient.