Jamal Gardezi

Experienced medical imaging scientist with a strong background in AI-driven diagnostic research, specializing in CT and MRI analysis for neurodegenerative and oncological conditions. Over the years, I have contributed to cutting-edge studies in deep learning, diffusion models, and multi-parametric imaging, with a focus on image synthesis, registration, and disease classification. My research spans across institutions in the U.S., China, and Malaysia, reflecting a global perspective and adaptability.

I am particularly passionate about developing solutions that reduce radiation exposure and improve diagnostic accuracy, with recent work emphasizing automated ASPECTS scoring, brain morphometry, and tumor analysis. I also engage in science communication and affiliate marketing, merging technical insight with outreach to broader audiences.

I am a medical imaging scientist with expertise in artificial intelligence, particularly deep learning applications for CT and MRI diagnostics. My work focuses on image synthesis, segmentation, and registration, with clinical applications in stroke, neurodegeneration, and cancer.

PhD degree in Science.

Masters of Science in Mathematics.

Bachelors of Science in Mathematics.