Razan Masood

Data Scientist with strong research background in user classification on online social networks. Experienced in NLP, machine learning, and LLMs applied to mental health and disinformation detection. Built and evaluated ML pipelines for text, network, and time-series data; published at ECIR, CLEF, and CIRCLE. Led large-scale data annotation efforts and taught databases, IR, and HCI in interdisciplinary teams.

• Developed a Java-based visualization tool for Hidden Markov Models, used in social media behavior analysis and rumor verification research. • Supported research in user behavior modeling and automated rumor detection.

Focused on data-intensive systems, machine learning, and information mining, with a strong emphasis on applied research. Specialized in NLP, social media analysis, and classification problems. Master’s thesis (grade 1.0) addressed fake news detection using machine learning and feature engineering. Graduated with distinction (final grade 1.3).