About Tanweer Rashid
Dr. Tanweer Rashid is a Staff Scientist at the O’Donnell Data Science and Research Computing Institute. In this role, he contributes expertise in data science, artificial intelligence (AI), and high-performance computing (HPC) to support data-intensive research and the development of scalable computational workflows. His current research focuses on agentic AI and large-scale computer vision applications.
Prior to joining the O’Donnell Institute, Dr. Rashid held research positions at UT Health San Antonio, the University of Pennsylvania, and Albany Medical College. His previous research focused on developing machine learning and deep learning methods for large-scale medical imaging datasets, including MRI analysis, image segmentation, classification, and biomarker development. His published research includes the development of a deep learning framework for distinguishing cerebral microbleeds from iron deposits in MRI, published in Scientific Reports, and the evaluation of functional MRI safety and imaging artifacts in patients undergoing deep brain stimulation, published in Radiology.
Dr. Rashid earned his Ph.D. and M.S. in Modeling and Simulation from Old Dominion University, with research concentrations in Medical Image Analysis and Transportation Research, respectively. He also holds a B.Sc. in Computer Engineering from North South University in Dhaka, Bangladesh.
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