Dr. Praneeth Karimireddy

Assistant Professor

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Biography

Sai Praneeth Karimireddy is an Assistant Professor at the Thomas Lord Department of Computer Science at USC and formerly a postdoc at UC Berkeley. He holds a Doctoral Degree from École Polytechnique Fédérale de Lausanne and two Master's and Bachelor's Degrees from the Indian Institute of Technology-Delhi. He co-leads the Data Quality Federated Learning Health working group at various industries including Meta, Google, and OpenAI. His research primarily focuses on addressing data challenges in machine learning, emphasizing the importance of understanding what makes data effective for machine learning systems. He investigates issues related to data valuation, data markets, and the sustainability of data ecosystems, particularly in the context of AI reliance on data commons. Throughout his career, he has received numerous awards, including the Patrick Denantes Memorial Prize for his thesis in computer science, the Chorafas Foundation Award for exceptional applied research, and multiple paper awards. His academic contributions aim to provide insights into building efficient data infrastructures and compensating data providers.

Research Interests

Awards

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SNSF Mobility Fellowship

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Patrick Denantes Memorial Prize

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EPFL Thesis Distinction Award

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Chorafas Foundation Prize

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.