Guido Salimbeni (UK)

Guido is a Research Associate part-time at Goldsmiths (University of London) working on Protein Docking and is a part-time PhD student under William Latham. His research focuses on augmented visual creativity and he is currently exploring the potential of Machine Learning and AI as a tool to augment visual creativity and aesthetic evaluation of images.
Guido’s skills include programming in python, javascript and C#, machine learning techniques in TensorFlow, Keras and Scikit-Learn, Dataexploration and visualisation using Pandas, Numpy and Seaborn, AI applications in Unity ML ,3D modelling for game, animation and 3D printing, game development in Unity3D. He has experience in developing VR installations using Unity3D and the HTC Vive headset. His interest now, which has developed over time, is to combine his traditional art practice with digital processes through innovative computation techniques, to produce a new set of computational tools for artistic exploration and human-computer interaction. His work includes data analysis and data visualisation using the Scikit-Learn library, automatic images classification and objects detection (using Keras and TensorFlow) and the implementation of programmed interfaces for aesthetic evaluation in Python and Unity3D. He graduated from the University of Turin with a degree in Economics.