Scholar
Naveen Raman
Google Scholar ID: vHALcwMAAAAJ
Machine Learning PhD, Carnegie Mellon University
Citations & Impact
Citations
253
H-index
7
i10-index
5
Publications
13
Co-authors
0
Publications
Resume
Academic Achievements
- Published multiple papers, including 'PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations' (IAAI '26), 'Do Concept Bottleneck Models Obey Locality?' (TMLR '25), and more.
Research Experience
- Deployed work in domains such as food sustainability and behavioral health; research projects include how to best incorporate human preferences when evaluating AI systems, designing explainability methods that complement human decision-makers, and designing mechanisms that allow for participant choice while maximizing overall welfare.
Education
- PhD: Carnegie Mellon University, advised by Fei Fang; MPhil: University of Cambridge in Advanced Computer Science, worked with Mateja Jamnik; BS: University of Maryland in Computer Science and Math, worked with John Dickerson and Jordan Boyd-Graber.
Background
- PhD student in the Machine Learning Department at Carnegie Mellon University, with research interests in human feedback in algorithmic decision-making, evaluation methods, explainability, and participant choice mechanisms.
Miscellany
- Personal interests not mentioned.