As a dedicated data science student, my enthusiasm lies in the realms of machine learning, large language models, cognitive robotics, and social robotics. My research is centered on the domain of child-robot interaction, with a particular emphasis on identifying and rectifying specific errors in robotic systems. I am committed to making meaningful contributions to the dynamic field of technology, firmly believing in its capacity for positive transformation.

Beyond my academic pursuits, my interests extend to the rich world of classical music, where I find inspiration and relaxation. Additionally, I have a fervor for sports, jogging and bouldering in particular. In my leisure hours, I also find joy in the art of clothes making.