At Institut Cartogràfic i Geològic de Catalunya, I developed deep learning architectures for building change detection and time-series forecasting. I also architected and deployed an end-to-end 3D LiDAR pipeline covering Catalonia.
At Telefónica, I applied machine learning and deep learning to anomaly detection and received an issued patent. Earlier, as a Research Assistant there, I worked on IoT network time-series anomaly detection using a Variational Autoencoder with CNN and LSTM neural networks.
For my research internship at Vodafone, I developed a neural-network-based generative dialogue system for conversational therapy, helping people with mild dementia and early-stage Alzheimer’s exercise memory and communication. My doctoral research at Universitat de Barcelona focused on deep learning models for aerial LiDAR point-cloud data.
I’ve also worked on technology projects with a social impact, including a reminiscence-therapy chatbot and systems for healthcare settings. I teach data science and machine learning at DataScienceUB and instruct deep learning labs at UPC School.
