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. He completed his doctoral studies at the École Polytechnique Fédérale de Lausanne and holds both a Master's and Bachelor's degree from the Indian Institute of Technology-Delhi. Prior to his current role, he worked as a postdoctoral researcher under Michael Jordan at UC Berkeley. His research focuses on data challenges in machine learning, particularly how data quality impacts ML systems. He investigates the factors that determine whether data is considered good or bad, highlighting the high cost and inaccessibility of valuable data like health records. He aims to utilize theories from optimization, statistics, and economics to address critical issues in building robust data infrastructures. Current research topics include Data Valuation and Data Markets, emphasizing the importance of a sustainable data ecosystem where individuals are compensated for their data contributions.

Research Interests

Awards

#2022

SNSF Mobility Fellowship

#2022

Patrick Denantes Memorial Trust Thesis Prize

#2022

EPFL Thesis Distinction Award

#2021

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.