Scholar
Charvi Rastogi
Google Scholar ID: OvNdXjsAAAAJ
Google DeepMind
Citations & Impact
Citations
822
H-index
12
i10-index
14
Publications
20
Co-authors
29
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation' (FAccT 2024), 'How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?' (PLOS ONE'24), etc.; Supported by J.P. Morgan AI Research Fellowship and IBM PhD Fellowship.
Research Experience
- Interned at Microsoft Research Redmond, IBM TJ Watson Research Center, and Syracuse University, NY.
Education
- Ph.D. student in the Machine Learning Department at Carnegie Mellon University, co-advised by Nihar Shah and Ken Holstein; Collaborated with Sivaraman Balakrishnan; Undergraduate from Indian Institute of Technology Bombay.
Background
- Interested in using tools in statistics, machine learning, and HCI towards effective human-AI collaboration for a variety of tasks, such as decision-making, auditing, crowdsourcing. Passionate about addressing gaps in socio-technical systems to make them useful in practice.
