Summary
Marcus Björk is a specialist in image processing and software development with 11 years of experience focused on quantitative MRI and medical imaging parameter estimation. He combines signal processing, optimization, machine learning and modeling to build robust estimation algorithms and software that support image analysis in clinical studies. His background spans academic research—including a PhD and postdoc at Uppsala University and a visiting researcher stint at Stanford’s MRSRL—and applied development at Antaros Medical where he develops optimization methods for quantitative MRI. Comfortable bridging theory and practice, he has hands-on experience delivering clinically-oriented tools and teaching undergraduate courses. Notably, his early lab work in materials testing and a stint as a dentist apprentice reflect a pragmatic, experimental mindset and attention to sterile, regulated environments.
12 years of coding experience
3 years of employment as a software developer
High School, Natural Sciences, High School, Natural Sciences at Vasaskolan
MSc, Engineering Physics, MSc, Engineering Physics at Uppsala University
English, Swedish