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Aydogan Ozcan wants to create cost effective and compact solutions to global health challenges while promoting academic diversity in STEM-related fields. Ozcan and his team develop integrated self-learning systems and networks to improve and simplify computational biophotonics, imaging, sensing, and diagnostics technologies for biomedical use. As part of his interdisciplinary undergraduate research and training program, students with highly diverse backgrounds participate in a unique yearlong program, which promotes and facilitates the innovation, design, and translation of technologies for telemedicine and global health applications.