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Kostis Kaffes is an Assistant Professor at the Data Science Institute at Columbia University, where he focuses on computer science. He obtained his Ph.D. in Electrical Engineering from Stanford University, under the guidance of Christos Kozyrakis. His research interests lie in computer systems and cloud computing, particularly in the areas of scheduling. He has worked on scheduling techniques across various scales, including end-host, rack-scale, and cluster-scale solutions, aiming to address challenges related to microsecond-scale tail latency. Kaffes is also exploring efficient methods for deploying large language models at scale. His work has been supported by significant fellowships and awards, including the A.G. Leventis Foundation and the Facebook Research Award.
Department of Anthropology (GSAS)