Jan Vincent Szlang

Research

Workload-driven optimizations for data-processing systems (with Prof Evangelia Kalyvianaki)

Interests

(Database) Systems, Performance Engineering, AI

Supervision

I am looking for motivated Master’s students to supervise in Database Systems (also remotely). I work on how users interact with analytical database systems, how workloads can be classified into meaningful categories, and how to leverage that knowledge.
If you have an idea, send me 2–3 lines plus your CV. I also offer topics. Goal: a strong conference paper with you as first author.

Publications

• Workload Insights From the Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like?
  
  Jan Vincent Szlang, Sebastian Breß, Sebastian Cattes, Jonathan Dees, Florian Funke, Max Heimel, Michel Oleynik, Ismail Oukid, Tobias Maltenberger. 
  Proceedings of the VLDB Endowment (PVLDB), 2025.

• Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing
  
  Ariane Ziehn, Jan Vincent Szlang, Steffen Zeuch, Volker Markl.
  Proceedings of the VLDB Endowment (PVLDB), 2025.

Work

• Software Engineer (Query Processing), Snowflake
• Senior Software Engineer (Database Systems), Huawei UK R&D
• Research Assistant, TU Berlin Database Systems and Information Management (DIMA)