Sai Praneeth Karimireddy
Assistant Professor, Thomas Lord Department of Computer Science (& by courtesy, ECE), USC.
I am an Assistant Professor in USC's Thomas Lord Department of Computer Science, and by courtesy in the Ming Hsieh Department of Electrical & Computer Engineering. Before USC, I was an SNSF postdoc working with Mike I. Jordan at UC Berkeley, and I completed my PhD at EPFL advised by Martin Jaggi. My work has been deployed in industry at Meta, Google, OpenAI, and Owkin.
See the group page for how to work with me.
Research
AI is one of the most powerful instruments we have ever built for studying intelligence, knowledge, and collective behavior. Questions that were once mostly philosophical — what is truth, is there a difference between observable behavior and innate traits, what improves human welfare — are becoming imperative. It is an exciting time for research :)
Some selected papers.
What are the fundamental limits of black-box auditing?
How do you feed context to an LLM in a differentially-private manner?
How do you model multi-agent cooperation and design incentives without monetary rewards?
What distinguishes important corner-case data from noisy outliers?
Awards
- Amazon Center on Secure & Trusted ML Award
- Capital One Fellowship
- SNSF Mobility Fellowship
- Patrick Denantes Memorial Prize — best PhD thesis in computer science, EPFL
- Dimitris N. Chorafas Foundation Prize — exceptional applied research