About me

I am a mathematical physicist with a master's in Research in Artificial Intelligence. I obtained my B.Sc. in Physics in 2022, focusing during the thesis on studying the mathematical formalism of spinors and its application in quantum mechanics. I also complemented these studies with a B.Sc. in Mathematics with a strong focus on topics closely related to theoretical physics. In 2023, I completed a M.Sc. in Research in Artifical Intelligence and worked as a research assistant in my host group focusing on stellar open clusters dating using Baysian inference. Since May 2023, I have been working as a scientific programmer at the Nynke Dekker Lab, where I apply my analytical and programming skills to biological physics research, with a focus on understanding the physics of the DNA replication process.

Through my experience in research groups, I have gained a close understanding of what conducting research entails, which has inspired me to pursue a Ph.D. and lead a research project of my own. I am particularly drawn to tackling complex scientific problems where mathematics, physics, and computational approaches intersect. In line with this goal, I have enrolled this year in a master's programme in Mathematics where I am collaborating with my thesis supervisor on a research project about L-infinity algebras and its applications.