Curriculum vitae

Short biography

Jennifer Neville is a Partner Research Manager at Microsoft Research Redmond, where she leads the AI Interaction and Learning research group, and the Samuel Conte Chair Professor of Computer Science and Statistics at Purdue University. Her research focuses on understanding how machine learning and AI systems behave in realistic settings, from relational and network data to modern AI assistants and agents. She is particularly interested in how complexity, interaction, and mismatches between modeling assumptions and deployment environments shape system behavior. Jennifer has authored more than 150 publications with over 12,000 citations across machine learning, data mining, and artificial intelligence. Her recent work on AI behavior and evaluation received the ICLR 2026 Best Paper Award. Additional honors include an NSF CAREER Award, an ICDM Best Paper Award, and IEEE's “10 to Watch in AI.” She served as Program Chair of AAAI 2023 and has held leadership roles at major AI and machine learning conferences, including AAAI, NeurIPS, ICML, IJCAI, and WSDM.

Contact

Office: Microsoft Research Redmond
Address: Microsoft Building 99, 14820 NE 36th St, Redmond, WA 98052
Email: jenneville [at] microsoft.com
Phone: (425) 421-4513

Office: Computer Science Department, Lawson 2142D
Address: 305 N. University St., Purdue University, West Lafayette, IN 47907-2107
Email: neville [at] cs.purdue.edu
Phone: (765) 496-9387
Fax: (765) 494-0739