Scholar
Venkatesh Sivaraman
Google Scholar ID: KDcGcfAAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
608
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Projects include: Tempo (Predictive Model Specification) and Counterpoint (Scalable Custom Web Visualization). For more information, please see his CV.
Research Experience
- Focused on tools for model developers and clinicians, as well as tools to help build beautiful data visualizations.
Education
- PhD student at the Carnegie Mellon University Human-Computer Interaction Institute, advised by Adam Perer.
Background
- Studies how trained experts use artificial intelligence (AI) to guide their decision-making, and uses that knowledge to improve how we build and present AI predictions. Particularly interested in applications of AI in health care, where complementarity between human and AI capabilities is crucial to helping improve people's lives.
Miscellany
- Would love to chat about research and collaboration opportunities! Contact him at venkats [at] cmu [dot] edu.
Co-authors