About me

I am a computer scientist and leader of the Data Systems Lab at KTH and RISE.

My main passion is to craft pioneering scalable data processing systems and discover new paradigms that pivot our compute capabilities. Together with ambitious PhD students and collaborators we have created numerous influential, world-class systems with applications in serverless computing, distributed databases, generative computing (AI), data streaming, graph databases, and acceleration using emerging new hardware and methods.

Awards

Since its inception in 2021, our lab’s research has received prestigious awards.

• 🏆 ACM DEBS 2024 Best Paper Award (μWheel)
• 🏆 ACM SIGMOD Systems Award 2023 (Apache Flink)
• 🏆 VLDB Best PhD Paper Award 2023 (Orb DB)
• 🏆 ACM DEEM@SIGMOD Best Paper Award 2022 (Crayfish)
• 🏆 ACM DEEM@SIGMOD Best Presentation Award 2022 (Crayfish)

Systems

Early in my academic career I contributed to the state management and streaming runtime of Apache Flink, a stream processing engine having a significant number of users globally today, likely numbering in the thousands across various industries. At Data Systems Lab we continue this tradition striving for continuous open-source contributions accompanying most of our major research findings. Certain libraries have already become fundamental within cloud infrastructure today. Examples of software contributions:

• OmniPaxos - World’s most reliable data replication framework for the cloud
• OrbDB - First predictive graph database aware of the uncertainty of its answers
• μWheel - Fastest data aggregator for time windows
• Aqua - The programming language of dataflow stream processing systems
• Portals - Decentralized Serverless Programming using Dataflows
• Crayfish - The first complete benchmark for ML serving on dataflow systems
• Apache Flink - World’s leading stream processing engine