As a PhD student, my research focuses on advancing glioblastoma care through the integration of statistical methods, machine learning, and imaging techniques to create more personalized radiation targets.

I have a background in Neuroscience and Neuroimaging / Neurobiology and Biophysics and have also worked briefly in the industry, applying data science and machine learning to detect problematic gambling behavior from player data.

I am conducting research on glioblastoma treatment, focusing specifically on enhancing the precision of radiation therapy. By employing statistical methods, machine learning, and advanced imaging techniques, my aim is to create tailored radiation targets for patient subgroups or for each patient. This could enable patients to benefit from more targeted and effective treatments, leading to less treatment-induced toxicity, fewer side effects, and better quality-of-life.

I am currently working as a mentor for medical resarch year students for a course in peer review feedback techniques.

As a PhD student, my primary area of responsibility is working on my research project, teaching activities, presenting at conferences, writing scientific articles, participating in international collaboration, as well as engaging in workshops and seminars to stay updated with the latest advancements in the field.