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