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I am broadly interested in the application of machine learning and data science methods to augment or improve life. I am currently working on quantifying patient outcomes in clinical rehabilitation using wearables and smartphones data. The overarching goal of this research is to: 1) provide clinicians with quantitative data to tailor rehabilitation programs; 2) understand the benefits of new rehab technologies in terms of functional recovery (e.g. does an advanced prosthetic leg allow a patient to walk more?).
I received my MSc in Biomedical Engineering from University Campus Bio-medico of Rome, Italy and my PhD in Computer Science from Goethe University of Frankfurt, Germany. During my MSc I worked on a model of the acquisition and retention of motor tasks to optimize robotic neuro-rehabilitation (in collaboration with the Newman Lab at MIT). Throughout my PhD I worked on a method for unsupervised learning of active stereo-vision on the humanoid robot iCub using Sparse Coding and Reinforcement Learning.