Kostis Kaffes

Kostis Kaffes serves as an Assistant Professor in the Department of Computer Science at Columbia University. He holds verified membership in the Data Science Institute (DSI) and is an Affiliated Member of the Data, Media and Society Center.

Education:

• Ph.D. in Electrical Engineering, Stanford University (Advised by Christos Kozyrakis)

Research Interests: Kaffes specializes in computer systems with emphasis on cloud infrastructure and scheduling algorithms. His work targets microsecond-scale tail latency optimization across end-host, rack-scale, and cluster-scale environments. Current research focuses on enhancing large language model deployment efficiency at industrial scale, addressing critical challenges in distributed AI systems performance.

Scientific Awards:

• Stanford EE Departmental Fellowship
• A.G. Leventis Foundation Fellowship
• Gerondelis Foundation Graduate Study Scholarship
• Facebook Research Award

Advising and Grants: Under the supervision of Christos Kozyrakis at Stanford, Kaffes developed foundational scheduling techniques. His research program continues to receive competitive funding, with the Facebook Research Award directly supporting his work on scalable AI infrastructure. These grants validate the industry relevance of his systems research in cloud computing and latency-sensitive applications.