jr419

Jonathan Rubin's repositories

Homophily_Analysis

The goal of this project is to provide a theoretic analysis, explaining the effect of homophily on Graph Neural Network Performace, that leverages on recent results in random family networks and their geodesics, by exploring the structural effects of homophily.

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jr419

Jonathan Rubin is a Mathematics MSci graduate from Imperial College London with a passion for Machine Learning, Data Science, and AI. Skilled in Graph Neural Networks, NLP, and Computer Vision. Always eager to collaborate and explore new ideas.

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object-oriented-programming

Object-oriented programming in Python for mathematicians

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UROP_2022

Deep learning based Airway Segmentation for High Resolution CT Images

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