Dr. Sato’s work relies heavily on High-Performance Computing (HPC) to run large-scale simulations and detailed models. He values the ongoing support from the HPC staff, which has been essential in maintaining the efficiency and effectiveness of his research. HPCCF assistance ensures that computationally intensive tasks are executed smoothly. Dr. Sato aims to understand the mechanisms of  arrhythmias to prevent sudden cardiac death by creating highly detailed heart models that can predict the efficacy and safety of antiarrhythmic drugs. One of the grand challenges he aspires to tackle is using HPC in the development of personalized medicine approaches for preventing sudden cardiac death for specific patients.

Through HPC resources, he has made significant strides in several areas: mechanisms for cardiac alternans, early and delayed afterdepolarizations, and arrhythmogenic calcium waves in cardiac myocytes.  As he looks to the future, Dr. Sato is excited about the potential for integrating machine learning with cardiac simulations and anticipates that Exascale Computing will significantly impact the field by enabling even more detailed simulations.

Dr. Sato's experience underscores the crucial role of HPC in advancing complex biomedical research and highlights the valuable support provided by the HPCCF in his groundbreaking work.