Leonardo Neves

Principal Research Engineer

Research Areas Natural Language Processing, User Modeling & Personalization

Leonardo is a Principal Research Engineer at Snap Research. His research is focused on Natural Language Processing and Data Mining, specifically in learning additional context to improve language understanding.

Leonardo's recent works involve personalizing and adding contextual information to large language models and leveraging sequence modeling for behavior understanding.

Before joining Snap Inc., Leonardo worked for Pivotal Software Inc., Intel, and Yelp, and, more recently, was the Head of Applied Research at Grammarly. He earned a Master's in Intelligent Information Systems from Carnegie Mellon University.