Matteo Cacioppo

I am a Physics graduate with a strong passion for machine learning and deep learning, particularly in medical imaging applications. My Master’s thesis focused on developing LSTM neural networks for artifact correction in Magnetic Resonance Imaging (MRI) data, enhancing image quality by predicting and compensating for patient motion.

Through my academic journey, I have built a solid foundation in signal processing, neural networks, and data analysis. I offer consulting services on machine learning especially in the area of applied physics.