Research / Extreme-scale Data and Computing / Scientific Programmers
Karol Zając
Scientific Programmer
Holds a Master’s degree in Computer Science. His research is primarily focused on High-Performance Computing (HPC) and scientific workflows, including VVUQ (Verification, Validation, and Uncertainty Quantification) processes and large-scale studies.
His expertise has been applied in adaptation of in silico computational models from the In Silico World (ISW) project onto HPC infrastructure, ensuring both scalability and efficiency. Additionally, he has contributed to toolkit development supporting the automation of simulation campaigns for patient cohorts and data sharing. He supervised experiments, utilizing a total of 5 million CPU hours.
He emphasizeses that best practices and the development of generalized solutions are crucial for creating impactful and reusable technologies.
With a strong interest in computer science and technology, he balances his professional life with an active lifestyle, enjoying swimming, cycling, calisthenics, hiking and taking short excursions or long journeys.