"Don’t feel overwhelmed by unfamiliar challenges"

What is the topic of your research?

I’m a PhD student in the AiMat group at KIT. My research focuses on machine learning methods for biomolecular simulations. Specifically, I am simulating processes within collagen, an essential protein in our body. Simulating such biological systems on an atomic scale allows us to gain insights into important chemical and biological processes. We use computers as our ‘computational microscopes,’ while machine learning accelerates simulations and helps us reach new levels of accuracy.

What inspired you to pursue a PhD in computer science? How does combining computer science with fields like chemistry, physics, and materials science lead to innovative research outcomes?

I studied physics and developed an interest in machine learning when I recognized the possibilities it offered for research across all fields of science. I’m excited to have the opportunity to combine physics with computer science during my PhD. This enables me to learn about the latest advancements in computer science and creatively solve problems in interdisciplinary research areas.

What challenges have you been facing as a woman in a traditionally male-dominated field, and how have you overcome them?

Starting with much fewer points of contact than many other (male) students regarding programming was a challenge I faced at the beginning of my studies. This often meant that course speeds did not match my experience level. I overcame these challenges by choosing applied research projects that combined an interesting topic with a technically challenging aspect. This allowed me to learn while doing research and find additional courses for the elements I wanted to improve on.

In what ways has the research group or KIT supported your career development and personal growth?

Collaborating within my research group and engaging with researchers from various fields has expanded my knowledge and enhanced my ability to integrate elements from chemistry, physics, and particularly computer science into my research projects. The opportunities to attend conferences and workshops have not only allowed me to connect with international researchers but also strengthened my ability to present my research to a wide range of diverse audiences.

What advice would you give young women considering a similar path in STEM?

Don’t feel overwhelmed by unfamiliar challenges! Numerous resources are available to help you build the essential skills. Begin by exploring what piques your interest and seek out engaging research projects that will enable you to learn along the way.