Olga Papaemmanouil

Olga Papaemmanouil is a Professor of Computer Science at Brandeis University and Senior Associate Provost for Academic Affairs and Curriculum. She is affiliated with the Michtom School of Computer Science and the Volen National Center for Complex Systems.

• Ph.D. in Computer Science, Brown University (2008)
• M.S. in Information Systems, University of Economics and Business, Athens (2001)
• B.S. in Computer Science and Informatics, University of Patras, Greece (1999)

Her research focuses on data management, integrating machine learning with cloud databases, query optimization, and performance prediction. She has pioneered techniques for interactive data exploration, reinforcement learning in query scheduling, and economic models for database provisioning.

Recent publications highlight her work on learned query optimizers, deep reinforcement learning for database operations, and platform-independent neuroscience data interfaces.

• NSF Career Award (2013)
• Amazon Research Award (2019)
• Huawei Innovation Research Awards (2017, 2018)
• SIGMOD Best Demonstration Award (2015)
• Paris Kanellakis Fellowship (2002)

She has secured multiple NSF grants and developed systems like Neo (learned query optimizer) and XCloud (performance management for cloud data services). Her work bridges database systems and machine learning for scalable data analytics.