Aslak Tveito

Aslak Tveito is a Professor and Simula Fellow at Simula Research Laboratory, working within the Department of Computational Physiology. His research spans computational physiology, biophysics, and scientific computing with a strong focus on cardiac electrophysiology and mathematical modeling.

Dr. Tveito's research interests center on computational physiology, particularly in the domain of cardiac electrophysiology. His work integrates mathematical modeling, numerical analysis, and computational techniques to understand cardiac function at multiple scales - from cellular to tissue level. He has made significant contributions to developing computational frameworks for modeling excitable tissues, with particular emphasis on the heart. His research bridges the gap between theoretical mathematics and practical physiological applications, creating models that can predict cardiac behavior under normal and pathological conditions.

The publication record reveals a strong trend toward increasingly detailed cellular-level modeling of cardiac electrophysiology. Recent work focuses on nano-scale phenomena, stem cell-derived cardiomyocyte modeling, and the development of efficient computational frameworks that maintain physiological accuracy. His research demonstrates a consistent trajectory from macroscopic cardiac models toward cellular and subcellular resolution, with growing integration of experimental data from microphysiological systems. There's also a clear emphasis on practical applications, particularly in drug testing and arrhythmia mechanisms.

Dr. Tveito has established himself as a leading researcher in computational cardiac electrophysiology through his extensive publication record spanning multiple decades. His work has been published in high-impact journals across computational biology, physiology, and applied mathematics.

His research program demonstrates strong continuity in mathematical modeling of cardiac systems, with evolving focus toward higher-resolution cellular models and integration with experimental cardiac microphysiological systems. The collaborative nature of his work is evident through numerous co-authorships with both computational scientists and experimental biologists.