👋 Hi! I am a PhD candidate at Radboud University Medical Center. I work within the Diagnostic Image Analysis Group (DIAG), and my research interests revolve around the use of deep learning algorithms for medical image analysis.
🧑🏽🎓 I am supervised by Colin Jacobs, Bram van Ginneken, and Mathias Prokop. My PhD thesis is on AI for lung cancer screening, with a focus on early lung cancer detection from low-dose chest CT images. As part of my work at DIAG, I also spend 10% of my time providing support for users of grand-challenge.org.
🛠️ 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.
✍️ I also volunteer as an editor for The Gradient. I am responsible for outreach, and I help edit articles to make sure they meet the publication standards.
💙 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
A deep learning algorithm for estimating malignancy risk of lung nodules from chest CT scans