Marloes Helder

I completed my BSc in Biology (2017–2021) at Utrecht University in the Netherlands, followed by an MSc in Epidemiology and Public Health (2021–2024) at Wageningen University. After completing my Master’s internship at QIMR Berghofer in the Statistical Genetics group, and working as a research assistant across several teams within the Mental Health and Population Health departments, I began my PhD in 2025 through Queensland University of Technology and QIMR Berghofer.

My PhD focuses on deriving accurate phenotypes from large-scale datasets using large language models and genetic analyses. I have automated the identification of keratinocyte cancers from pathology reports using machine learning methods. Building on this, I am applying language models to medical records to predict additional health outcomes based on healthcare service use and medication data, and validating these predictions using genetic approaches. I also work on distinguishing in situ from invasive melanoma using genome-wide association studies and polygenic risk scores.

I have a strong background in large-scale data analysis and statistics. I enjoy learning new methods, working on complex problems, and connecting with others who are passionate about research.