Emilia Oikarinen

Emilia Oikarinen serves as a University Lecturer and Docent in the Department of Computer Science at the University of Helsinki, appointed in February 2020. Her research integrates machine learning, data science, and educational technology to address practical challenges in AI interpretability and data-driven education.

Her academic credentials include a Doctor of Science in Technology (D.Sc.(Tech.)) degree.

Dr. Oikarinen specializes in Explainable AI for black-box model interpretation, Educational Data Mining for MOOC student retention analysis, and Statistical Data Visualization methodologies. Her work develops frameworks for transparent AI systems and evidence-based educational interventions through rigorous data analysis.

Recent publications reveal a cohesive research trajectory: 2023 works focus on real-world model explainability and MOOC commitment thresholds, while her 2022 IEEE Transactions paper establishes statistical foundations for visual analytics, demonstrating sustained innovation in human-centered data science.

Her academic distinctions feature:

• Docent in Computer Science, University of Helsinki (awarded January 2020)

Collaborative projects with researchers including Björklund, Henelius, and Puolamäki indicate active team-based research in data science, though specific graduate student mentorship and grant details are not documented in the source materials.