معرفی
Marina Sokolova is an Assistant Professor in the Faculty of Medicine at the University of Ottawa, affiliated with the School of EPHPM and the Institute for Big Data Analytics. Her research focuses on text data mining, machine learning, and privacy-preserving techniques applied to healthcare and social media contexts. She holds a Ph.D. and M.Sc., and her work addresses challenges in analyzing large-scale, dynamic datasets (Big Data), particularly user-generated content related to personal health information and public health trends.
Her research interests include sentiment analysis of health-related social media (e.g., Reddit, Twitter), development of privacy-aware algorithms, and automated methods for extracting insights from medical forums. She contributes to international conferences and journals in artificial intelligence and text mining, emphasizing explainable AI and ethical data practices. Dr. Sokolova collaborates on projects like YOURPRIVACYPROTECTOR, a privacy-recommendation system for social networks, and explores topics such as gene ontology analysis (via deepSimDEF) and biomedical NLP.
Her articles span over two decades, with recent work emphasizing longitudinal sentiment analysis (2024), privacy-by-design frameworks (2022), and multi-class medical classification systems. She advises graduate students and has pioneered evaluation measures for classification tasks in health informatics. Her research bridges computational linguistics, machine learning, and healthcare ethics, addressing critical issues in data privacy and algorithmic transparency.
Labs/Teams: Core member of the Institute for Big Data Analytics, collaborating with interdisciplinary teams on NLP and privacy engineering. Active in the Faculty of Medicine’s health informatics initiatives.
