Lars Asker

Lars Asker serves as an Associate Professor in the Department of Computer and Systems Sciences at Stockholm University. He was formerly the Co-Principal Investigator (Co-PI) for the EXTREMUM project (Explainable and Ethical Machine Learning for Knowledge Discovery from Medical Data Sources), a collaborative initiative under the Digital Futures research program.

His research spans critical interdisciplinary domains at the AI-healthcare-ethics nexus, with emphasis on:

• Machine Learning
• Explainable AI (XAI)
• Ethical AI Frameworks
• Medical Data Interpretation
• Knowledge Discovery Systems
• Healthcare Informatics

Through the EXTREMUM project, Dr. Asker pioneered methodologies ensuring algorithmic transparency and ethical compliance in medical AI systems, addressing fundamental challenges in clinical decision support and patient data utilization while maintaining rigorous scientific standards.