Pallavi
Koppol

Pallavi Koppol is a Research Scientist at Databricks, where she works on reinforcement learning from human feedback and other post-training methods. She earned her PhD from Carnegie Mellon University on interactive machine learning from human feedback in 2023, and previously worked on perception and machine learning infrastructure at Waymo. Her research explores how artificial intelligence systems can effectively elicit high-quality information from people and leverage that information for improved learning outcomes.