Invited Speaker

Paolo Andreini is a postdoc at the University of Siena (Italy), he has a degree in computer science and a PhD in Information Engineering and Science. His research activity focuses on machine learning and computer vision. He has been involved in different projects, often cooperating with clinicians and industries, with particular application to the automatic analysis of biomedical images.

His main research topics include semantic segmentation, object detection, bioinformatics, weakly-supervised and unsupervised learning and generative models. From a practical point of view, he worked on a variety of domains including agar plates, retinal images, skin lesions, brain MRI, oocytes images, kidney histological images, text detection and recognition, ribo-seq profiles etc.