I am a MSc student in Music and Acoustic Engineering at Politecnico di Milano and a Researcher at LWT3. My current areas of expertise are Digital Signal Processing and AI.
I am a Research and Development intern at LWT3. There, I am in charge of developing a new state-of-the-art system for Real-time Multimodal Emotion Recognition from Audio and Electromyography signals. I am also working on building a new dataset for emotion recognition of piano performances, with aligned audio, EMG and Motion Capture data.
I graduated with a BSc in Computer Science Engineering in 2021 and I am now on track to graduate in the Master's Degree of Music and Acoustic Engineering, which is a field of Computer Science specifically dedicated to Signal Processing, Creative Software Development and AI-powered Audio Analysis and Manipulation.
I have a passion for technology and everything that has to do with signal processing, primarily audio and music data. My main interests as a Music Engineer are AI, Generative AI, Machine Learning and Deep Learning techniques applied to the world of Digital Signals.