Simone Colombo

Simone Colombo is a skilled professional in machine learning and artificial intelligence with a strong academic background from Vrije Universiteit Amsterdam, holding a Bachelor's degree in Computer Science and a Master's degree in Artificial Intelligence. Simone began experiences in machine learning as a Researcher at Triply, where an enhanced version of the Relational Graph Convolutional Network for inductive link prediction was developed. Subsequent roles included Computer Vision Research Engineer at VicarVision, focusing on the detection of Blood Oxygen Saturation from videos using Convolutional Neural Networks. Currently, Simone serves as a Machine Learning Intern at Sensity and a Machine Learning Engineer at Channable, continuing to advance expertise in the field.