Felix
Felix is 25 years old and comes from Vienna, Austria. He completed his bachelor's degree in molecular biotechnology at HCW Campus Wien before joining the MTLS Master's program. Outside of his studies, he is passionate about sports in all their forms, including calisthenics, volleyball, running, and snowboarding. He also has a genuine appreciation for the beauty of data, and if there is one thing he takes seriously outside of sports, it is Carnival and Halloween.
Why did you choose this master’s programme at KTH?
I chose this programme because of its versatility and the unique position it holds at the intersection of wet and dry lab work. Coming from a wet lab background in Molecular Biotechnology, I was drawn to the opportunity to expand my skill set into the computational and data-driven side of the field. During an internship in a data-driven lab here in Stockholm, I got a real first taste of what that world looks like. Working with biological data in a more computational way genuinely inspired me and made me want to dive deeper. The growing importance of this intersection in the future of life sciences only reinforced that decision. On top of that, getting to rotate through different departments and universities across Stockholm is an exciting bonus, and honestly, falling in love with the city during my internship made choosing Stockholm an easy decision.
How is student life in Stockholm?
Student life in Stockholm is really enjoyable. There is a large and active student community with plenty to do, from sports events and parties to free language courses and book clubs. Taking the initiative is key, though, as locals tend to be more reserved than what I was used to back home. But once you put yourself out there, it is easy to make genuine connections. Learning a bit of Swedish also goes a long way.
What do you want to do after graduating?
Since I am only just getting started, I have not made any firm decisions yet. That said, I am considering pursuing a PhD in a field related to digital twins, with the goal of making drug development faster and diagnoses more accurate and efficient. It is an area I find genuinely exciting, and I believe it aligns well with where life sciences and technology are heading.