Nazneen Rajani
Scholar

Nazneen Rajani

Google Scholar ID: eIRG81YAAAAJ
Collinear AI
Post-trainingData curationAI safetyReasoningEvals
Citations & Impact
All-time
Citations
7,824
 
H-index
26
 
i10-index
49
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Published multiple papers; involved in the research of the Zephyr model; featured in the NYT article cover on RLHF data collection and finetuning.
Research Experience
  • Led the team at Hugging Face for benchmarking data quality and setting key criteria. Worked as a Senior Research Scientist at Salesforce Research, leading a small team to build robust natural language generation models.
Education
  • Ph.D. in Computer Science from the University of Texas, Austin, advised by Prof. Ray Mooney; MS in CS with a thesis advised by Jason Baldridge.
Background
  • Research interests include natural language processing, model alignment, and explainability. Formerly a Research Lead at Hugging Face, focusing on democratizing the secret sauce of alignment that makes ChatGPT different from GPT-3.
Miscellany
  • Enjoys teaching and has taught courses on interpreting ML models; currently Founder and CEO of a stealth startup.