For nearly a decade, I've specialized in advancing machine learning solutions for clinical applications, pioneering tools in medical image analysis and developing high-impact solutions accessible to diverse users. My focus on deep learning and synthetic data-driven tools addresses data scarcity challenges to enhance segmentation and diagnostic precision. Bridging theory and application, I develop tools that visualize brain connectomics and perform brain segmentation, particularly in fetal brain extraction from MRI. This work is crucial for neurodevelopmental studies and identifying early markers of psychological disorders. My goal is to push model training boundaries for better patient care and impactful discoveries in medical image analysis. Currently, I freelance as a machine learning consultant, tackling complex challenges in healthcare and medical imaging, and providing expertise in data analysis such as running statistical functions to understand individual and group differences. |
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Technical Challenges | Human-Centered Solutions |
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If you're interested in exploring a potential collaboration, feel free to email me. |