Jasmina Bogojeska

Prof. Dr. Jasmina Bogojeska is a Professor for Artificial Intelligence and Machine Learning at ZHAW School of Engineering, where she leads the Explainable Artificial Intelligence Group since March 2024. She previously held roles as Senior Principal Data Scientist at Roche (2022-2024) and Research Staff Member at IBM Research Zurich (2013-2022), with postdoctoral work at Max Planck Institute for Informatics (2011-2013). Her affiliations include ZHAW Datalab and Digital Health Lab.

• PhD in Computer Science (2011), Saarland University/Max Planck Institute
• MSc in Computer Science (2007), Saarland University
• BSc in Computer Science (2004), University Ss. Cyril and Methodius

Her research bridges Explainable AI with applications in Healthcare, IT Infrastructure Management, and Critical Care Time-Series Analysis. Key focus areas include domain-specific foundation models, conversational data systems, and low-resource NLP solutions. Recent work explores multi-modal medical AI for chest X-ray interpretation and large-scale clinical time-series datasets.

Notable contributions include GIT-CXR for automated radiology reports and domain-specific protein language models in immunology. Her publications span IEEE, BMC, and Nature journals, emphasizing practical AI deployment in healthcare and IT operations.

Scientific Recognition:

• Edelman Prize Finalist (2020)
• IBM Research Accomplishment Award (2019)
• IBM Corporate Award (2017)
• Best Paper Award at CNSM (2013)

She actively develops reliable AI systems for server incident reduction (PASIR) and child injury monitoring, while advancing automated medical analytics through projects like Antibiotika-Resistenz Tracker. Her teaching covers Machine Learning, Data Mining, and Safer AI at bachelor and master levels.