๐ About Me
Hi there! I am an AI Engineer and Researcher dedicated to bridging the gap between state-of-the-art deep learning research and real-world clinical applications. With a PhD background in medical image analysis, I specialize in building robust, interpretable models for complex diagnostic tasks.
Currently based in Amsterdam, I focus on computer vision, medical imaging, and automated deep learning pipelines that enhance clinical decision-making and improve patient outcomes.
๐ฏ Research Interests
- ๐ง Deep Learning
- ๐ฅ Medical Imaging
- ๐ค Computer Vision
- ๐ฌ Precision Oncology
- ๐๏ธ Tumor Segmentation
- ๐ Treatment Response
- ๐ท CT/PET
- ๐งฒ MRI
- ๐ Data Analysis
๐ Featured Projects
Top-1 Solution for Segmentation and Detection of Head and Neck Cancer Tumors. Developed a multi-modal deep learning approach for robust lesion detection.
Improved rectal tumor segmentation using anomaly fusion derived from anatomical inpainting. Integrates domain knowledge into automated segmentation pipelines.
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI.
๐ Selected Publications
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Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting
Scientific Reports (2025)
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An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer
npj Precision Oncology (2024)