Sai Praneeth Karimireddy
Scholar

Sai Praneeth Karimireddy

Google Scholar ID: wKJeOQoAAAAJ
USC
Machine LearningOptimizationPrivacyFederated learningData economy
Citations & Impact
All-time
Citations
8,974
 
H-index
23
 
i10-index
33
 
Publications
20
 
Co-authors
103
list available
Resume (English only)
Academic Achievements
  • - Amazon Center on Secure & Trusted ML award
  • - Capitol One Fellowship
  • - SNSF Mobility Fellowship
  • - Patrick Denantes Memorial Prize for the best thesis in computer science
  • - Chorafas Foundation Prize for exceptional applied research
Research Experience
  • Co-leads the Federated Learning for Health working group at MONAI with Holger Roth at NVIDIA. His work has been deployed across industry at Meta, Google, Open AI, and Owkin.
Education
  • PhD from EPFL, advised by Martin Jaggi; SNSF postdoc at UC Berkeley, working with Mike I. Jordan.
Background
  • Assistant Professor at USC, with research interests in the application of optimization, statistics, and economics to machine learning systems, particularly focusing on the role of data within these ecosystems.
Miscellany
  • Actively looking for Fall 2026 PhD students, especially in: a. data-centric ML: data valuation, agentic markets, synthetic data; b. privacy and memorization in ML; c. foundations of robust and secure ML.