Paris Carbone

For an up-to-date overview please visit our Data Systems Lab page!

I am an Associate Professor/docent, founder and director of the Data Systems Lab.

My focus gravitates around data-driven system design with applications in serverless computing, distributed databases, AI, data stream platforms, graph query systems, and acceleration using emerging new hardware and methods. Our lab's research has received high adoption and critical acclaim such as the prestigious ACM SIGMOD Systems Award 2023 for Apache Flink's transformative power in data processing, as well as the ACM DEBS 2024 Best Paper Award and VLDB 2023 Best PhD student Paper award 2023. Our work is funded by SSF, Vinnova, Digital Futures, Knut och Alice Wallenberg Foundation, and WASP AI.

Nurturing creative, independent, and capable young innovators is one of my passions. As of 2023, I was nominated as one of the top 10 supervisors at KTH.

I am responsible for teaching and examining foundational topics in computer science at KTH. At the bachelor level, I teach the popular "Data Storage Paradigms IV1351" course which includes a system-oriented overview of database systems. Furthermore, at the 2nd and 3rd cycle, I also give the "Distributed Systems Advanced ID2203" course which includes fundamentals and up-to-date analysis of distributed systems and a unique specialization on data system theory and practice.

🏆 In December 2024 I was awarded the title of Teacher of the Year across all schools of KTH, following a student chapter nomination and cross-chapter evaluation by the student union THS.