Jennifer L. Neville

Jennifer L. Neville is a Professor in the Departments of Computer Science and Statistics at Purdue University, where she holds the Samuel D. Conte Chair. She also serves as a Partner Research Manager at Microsoft Research Redmond. Her work bridges academia and industry, focusing on relational data patterns in networks.

Education:

• BS, Computer Science, University of Massachusetts Amherst (2000)
• MS, Computer Science, University of Massachusetts Amherst (2004)
• PhD, Computer Science, University of Massachusetts Amherst (2006)

Research interests include:

• Machine learning for relational domains
• Data mining in social, communication, and physical networks
• Statistical bias discovery in network data

Her approaches emphasize interconnected entity analysis to improve predictive models.

Publications from 2011 highlight contributions to ensemble classification and relational learning methods, reflecting a focus on scalable algorithms and network-driven insights.

• Award: Samuel D. Conte Chair

Advising and grants: No formal advisees listed, but her roles likely involve mentoring. Grants details not provided. Her lab is located at DSAI 3118, affiliated with Purdue's academic research initiatives.