Gustavo Kunde Rohde

Gustavo Kunde Rohde is a Professor of Biomedical Engineering and Electrical and Computer Engineering at the University of Virginia. His research focuses on computational predictive models using machine learning and signal/image processing for applications in pathology, radiology, systems biology, and mobile sensing. He holds B.S. degrees in Physics and Mathematics from Vanderbilt University (1999), an M.S. in Electrical Engineering from Vanderbilt (2001), and a Ph.D. in Applied Mathematics and Scientific Computation from the University of Maryland (2005).

• Affiliations: University of Virginia, School of Engineering and Applied Science
• Labs: Rohde Lab (Imaging and Data Science)

Research Interests:

• Medical and Molecular Imaging
• Signal and Image Processing
• Biomedical Data Sciences
• Machine Learning
• Computer Graphics and Vision

His work emphasizes quantitative modeling of biomedical data using interdisciplinary approaches from applied mathematics, signal processing, and statistics.

Key Contributions:

• Developed the Cumulative Distribution Transform (CDT) for signal classification
• Advanced transport-based morphometry for analyzing imaging data
• Improved early detection of osteoarthritis and stroke via computational models

Grants & Projects:

• NIH U54CA274499: High-Content Imaging & Analysis Core
• NIH R01GM130825: Transport transforms for biomedical data modeling

Awards:

• Member of the AIMBE College of Fellows (2023)

Notable Work: Pioneered methods to label and analyze microvascular networks, and applied optimal transport theory to biomedical data analysis. His lab’s tools, like the CDT-based classifier, enable real-time diagnostics in healthcare.