B.S. Biomedical Engineering, minor in Computer Science
University of VirginiaEarly foundation in engineering, computation, and biomedical problem solving.
Training Arc
Training Arc
This page preserves the education, training, and methods foundation behind the current software-first research identity.
Dr. Raha Dastgheyb’s research sits at the intersection of engineering, data science, and neuroscience. Her training in biomedical engineering, computer science, quantitative neuroscience, high-throughput electrophysiology, and translational cohort science informs a program focused on reproducible research, biomedical data science, computational biology, biomarker discovery, and open-source scientific software.
Current roles and affiliations connect that training to translational infrastructure: Data Science and Mathematical Modeling Core leadership, Biomarker Core leadership, IDIES membership, and Data Science and AI Institute affiliation. Future directions extend this work toward human-in-the-loop AI, conversational data exploration, cross-domain biomedical integration, and SciDataAgent as an AI-assisted discovery layer that helps scientists think more effectively.
Ph.D. Biomedical Engineering
Drexel UniversityDissertation work on mechanisms of secondary axonal pathology in traumatic brain injury.
Postdoctoral training
Drexel University and Johns Hopkins NeurologyQuantitative neuroscience training across cellular mechanics, high-throughput electrophysiology, neurons, organoids, and brain slices.
Faculty and translational data science
Johns Hopkins NeurologyTranslation of engineering and computational tools into human cohort studies, biomarker systems, open-source scientific software, and responsible AI-assisted discovery.