Dr. Sai Praneeth Karimireddy is an Assistant Professor at USC in the Thomas Lord Department of Computer Science, and by courtesy in the Ming Hsieh Department of Electrical and Computer Engineering. Before this, he was an SNSF Postdoctoral Fellow working with Mike I. Jordan at UC Berkeley, and obtained his PhD at EPFL advised by Martin Jaggi. His work has previously been deployed across industry at Meta, Google, Open AI, and Owkin.
He is interested in principled approaches to understanding real-world AI. During his PhD, he developed efficient and robust algorithms for distributed and federated learning. However, engaging with practitioners revealed that incentive alignment is often the biggest bottleneck for real-world multi-agent collaborations. He spent his postdoc learning game theory and mechanism design to be able to address such questions. Now, he combines insights from optimization, statistics, and economics to design, evaluate, and improve trustworthy AI systems.
Selected awards he has been recognized by include:
He is currently interested in principled approaches to defining, understanding, and improving AI behavior. Key questions his research addresses include:
