Jennifer Neville
Scholar

Jennifer Neville

Google Scholar ID: 6CTPn44AAAAJ
Microsoft Research, Purdue University
Artificial IntelligenceMachine LearningStatistical Relational LearningSocial Network Analysis
Citations & Impact
All-time
Citations
4,275
 
H-index
33
 
i10-index
73
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Research Experience
  • Partner Research Manager at Microsoft Research Redmond; Professor and Samuel D. Conte Chair in the Departments of Computer Science and Statistics at Purdue University.
Background
  • Her research focuses on the development of ML and AI algorithms for structured and interactive domains. Much of her past work has centered on representation learning, inference, and optimization for relational and networked data, with a focus on understanding and correcting statistical biases introduced by graph structure. More recently, she has been exploring large language models, with an emphasis on aligning model behavior with user intent and preferences through grounding, adaptation, and learning from interaction at scale.