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providers, and clinical interventions to improve health outcomes, policy, and technology development with the goal of improving health, safety, and quality of life for all, across the lifespan. The Department
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing
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barrier breakdown in patient-derived xenograft mouse glioma models. His current focus is on engineering nanoparticles for more targeted laser therapeutics and exploring new drug discovery for pediatric high
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