Usama Sajjad is a Ph.D. student in computational pathology at The Ohio State University, where he focuses on deep learning, computational pathology, and high-performance computing (HPC). His research involves developing AI-driven solutions for computational pathology, with an emphasis on segmentation, classification, and predictive modeling.
Usama has extensive experience in deep learning frameworks, distributed computing, and large-scale image processing. He actively explores computational methods to enhance and improve patient outcomes. In addition to his research, he has a strong background in software development and biomedical applications of AI.
He is also engaged in medical device development and regulatory aspects of AI in healthcare, with a keen interest in project management, risk assessment, and innovation in biomedical engineering. His goal is to advance AI-driven solutions in computational pathology and medical imaging, contributing to the future of precision medicine and healthcare.