Gabriel Balaban

Gabriel Balaban is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology, where he teaches software engineering, UX design, and computer science. His research focuses on medical image analysis, biophysical modeling, and machine learning applications in cardiac healthcare.

• PhD in Computer Science (University of Oslo)
• MSc in Mathematics (University of Oslo)
• BSc in Mathematics (Trent University, Canada)

His work includes computational shape analysis of mitral annular disjunction, T-cell receptor sequencing methodologies, and cardiac mechanics modeling for sudden cardiac arrest prognosis. Collaborations span institutions like Oslo University Hospital, King's College London, and Simula Research Laboratory.

Key contributions:

• Developed statistical methodology for T-cell receptor detection in Celiac disease diagnosis
• Created MRI-based electrical modeling techniques for non-ischemic dilated cardiomyopathy
• Advanced high-dimensional mechanical heterogeneity modeling in cardiac diseases
• Co-authored "Ten Simple Rules for Quick and Dirty Scientific Programming"