👋 Hi! I am a postdoctoral researcher at Radboud University Medical Center. I work within the Diagnostic Image Analysis Group (DIAG), and my research interests revolve around the design and development of AI algorithms in radiology. I currently work with Alessa Hering in the COMFORT project.
🧑🏽🎓 For my PhD research, I was supervised by Colin Jacobs, Bram van Ginneken, and Mathias Prokop. My thesis is on AI for lung cancer screening, with a focus on early lung cancer detection from chest CT scans. In my first publication, we showed that deep learning algorithms are comparable to clinical experts at predicting lung cancer risk. This story was also covered by the Telegraph. 😊
👥 As part of my PhD research, I spent 10% of my time providing support for users of grand-challenge.org. I also volunteered as an editor for The Gradient. I was responsible for outreach, and I edited articles to make sure they met the publication standards.
🛠️ Prior to my PhD, I worked at an early-stage startup called Predible (acquired by nference) for three years, where we developed deep learning algorithms for wrist x-ray, chest CT, and abdomen CT analysis.
💙 During my free time, I love to play outdoor sports, read books and, occasionally, stargaze.
B.Tech & M.Tech in Engineering Design (Specialization in Biomedical Design), 2016
Prior CT improves deep learning for estimating lung nodule malignancy risk
A deep learning algorithm for estimating malignancy risk of lung nodules from chest CT scans