Engineering Practical Cancer Decision Tools for Low-Resource Settings

My research sits at the intersection of biomedical engineering, quantitative imaging, and clinical decision support. I focus on developing practical tools for cancer diagnosis, screening, and monitoring in low-resource settings, with particular interest in risk modeling, imaging-informed feature discovery, and context-appropriate device d

My research sits at the intersection of biomedical engineering, quantitative imaging, and clinical decision support. I focus on developing practical tools for cancer diagnosis, screening, and monitoring in low-resource settings, with particular interest in risk modeling, imaging-informed feature discovery, and context-appropriate device design. Across this work, I aim to translate engineering and computational methods into clinically useful solutions that can strengthen decision making and improve patient care in resource-constrained environments.

My teaching emphasizes biomedical engineering design, quantitative reasoning, quantitative imaging and clinically grounded problem solving. I aim to help students connect engineering methods to real-world health challenges, especially in low-resource settings, by developing their ability to move from needs identification and problem defin

My teaching emphasizes biomedical engineering design, quantitative reasoning, quantitative imaging and clinically grounded problem solving. I aim to help students connect engineering methods to real-world health challenges, especially in low-resource settings, by developing their ability to move from needs identification and problem definition to practical design, analysis, and translational thinking.