Scholar
Nihar B. Shah
Google Scholar ID: BF39lMQAAAAJ
ML and CS departments, Carnegie Mellon University
Citations & Impact
Citations
3,924
H-index
35
i10-index
68
Publications
20
Co-authors
120
list available
Publications
Resume (English only)
Background
- Associate professor at Carnegie Mellon University with joint appointments in Machine Learning and Computer Science.
- Research focuses on 'the science of evaluation and the evaluation of science', developing algorithms with strong theoretical guarantees and conducting large-scale controlled experiments for evidence-based policy and real-world deployment.
- Uses human-AI collaboration to address fundamental questions about scientific work: correctness, quality, fundability, and authenticity.
- Research has been applied to the evaluation of over 100,000 papers and thousands of grant proposals across more than 200 venues.
- Methods extend naturally to other domains such as admissions and competition judging.
- Maintains a small research group and works closely with all students.
