Scholar
Daniel Tward
Google Scholar ID: TShEt8oAAAAJ
Assistant Professor of Computational Medicine and Neurology, University of California Los Angeles
Citations & Impact
Citations
1,634
H-index
22
i10-index
35
Publications
20
Co-authors
40
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Work Experience: Assistant Professor at University of California Los Angeles; Research Projects: Developing computational technologies to overcome challenges in brain imaging, including using machine learning to combine information from different imaging systems, differential geometry to describe and quantify structure, and high dimensional statistics for reliable inference.
Background
- Research Focus: Using imaging data to understand how disease affects the brain’s structure; Professional Field: Computational Medicine and Neurology; Summary: Aims to build computational technologies to accelerate neuroscience discovery, and to improve clinical trial design and diagnostic accuracy.
