Mariona Roca is a data scientist and PhD candidate in 3D modeling with deep learning at the University of Barcelona, with a decade of experience applying ML and DL to real-world problems across industry and academia. She has built production-ready solutions from anomaly detection systems for Telefónica to a therapeutic conversational agent developed with Vodafone Foundation for early-stage Alzheimer’s patients. As a lecturer and lab instructor she translates complex models (CNNs, VAEs, GANs) into hands-on learning, while currently applying her skills at the Institut Cartogràfic i Geològic de Catalunya. Her work is consistently grounded in social impact—from building an app for a charity race to deploying hospital IT systems and water filters in underserved communities. She holds advanced training in telecommunications and has turned research prototypes into deployed tools, including a patented application area and internal talks on VAE applications. Colleagues describe her as a technically rigorous practitioner who seeks projects that combine strong engineering with measurable societal benefit.
10 years of coding experience
2 years of employment as a software developer
Bachelor's thesis, Machine Learning for IoT and Anomaly Detection, Bachelor's thesis, Machine Learning for IoT and Anomaly Detection at Télécom ParisTech
UPC Universitat Politècnica de Catalunya
PhD Candidate, 3D Modeling with Deep Learning, PhD Candidate, 3D Modeling with Deep Learning at Universitat de Barcelona
Demo of Automatic Reminiscence Therapy for Dementia (ACM ICMR 2020)
Contributions:4 PRs, 87 pushes, 1 branch in 3 years 3 months
pytorchacmdementiatherapy
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