Diana is a Senior Data Science Consultant and Researcher with a strong background spanning academia and industry. Her expertise covers social computing, natural language processing (NLP), generative AI for textual data, and information retrieval systems, with applications in mental health and broader sociotechnical challenges for social good.
She investigates how online behaviors and linguistic patterns can reveal indicators of psychological distress, leveraging large-scale social media data to better understand mental health dynamics. Beyond mental health, her research explores NLP applications in disinformation, social engineering detection, and hate speech analysis, contributing to safer and more ethical online environments. She has developed data-driven methods to detect and mitigate online risks and to reduce exposure to harmful content amplified by social media algorithms, particularly in the context of eating disorders. Diana holds a PhD in Computer Science, an MSc in Data and Connected Systems, and an Engineering degree in Information Systems and Computer Science.