Overall interested and passionate about AI and machine learning. I worked in speech/audio processing and computer vision. My master thesis was a comparative study of automatic speaker recognition, carried out at Ericsson Research in Stockholm, Sweden.As part of my double degree from EIT Digital Master School I also obtained a minor in business development. I love new innovative technologies and ideas that lead to improvements for society and to better services and products for consumers.After working in tech consultancy companies, developing PoC and R&D projects, I am now at IDSIA in Lugano, working as a research collaborator. My focus is on Graph Neural Networks (GNNs) applied to time series forecasting, I worked on many applied research projects in the energy sector, focusing on load forecasting and PV power generation forecasting.Amateur guitar and bass player, I've been playing music since I was 8 years old. Lately, I've been developing my classical guitar skills.
Listed skills include Machine Learning, Neural Networks, Deep Learning, Pattern Recognition, and 17 others.