Tomi is a Doctor of Science student in Cybersecurity working on the NIH AIM-AHEAD grant, where her research focuses on applying video-based machine learning to gait detection. She specializes in generating and using synthetic data to train and evaluate models, enabling more accurate and privacy-preserving identification of gait patterns. By combining expertise in computer vision, cybersecurity, and health informatics, Tomi’s work aims to advance ethical, accessible AI solutions for biomedical applications.