Portrait of Matthias Jasny

Matthias Jasny Dr.-Ing.

Senior Applied Scientist

Gray Systems Lab, Azure Data, Barcelona


Education

  1. 04/2021 - 04/2026

    Ph.D. in Computer Science, TU Darmstadt

    • Focus: Scalable Data Management on Programmable Networks
    • Advisor: Prof. Carsten Binnig
  2. 10/2018 - 04/2021

    M.Sc. in Computer Science (GPA: 1.7), TU Darmstadt

    • Subsidiary subject: Electrical engineering and information technology
    • Thesis: In-Network Processing of Hot Transactional Tuples on Programmable Switches (Grade: 1.0) (Best Master's Thesis Award)
  3. 10/2015 - 10/2018

    B.Sc. in Computer Science (GPA: 1.6), TU Darmstadt

    • Thesis: A Transactional Database Kernel for Machine Learning (Grade: 1.0)

Conference Publications

  1. VLDB 2026
  2. VLDB 2026
  3. VLDB 2026
  4. TCDE
  5. DaMon 2025
  6. TODS 2025
  7. Book Chapter
  8. DaMoN 2024
  9. SIGMOD 2024
  10. VLDB 2023
  11. DaMoN 2023
  12. Demo@VLDB 2022
  13. SIGMOD 2022
  14. SIGMOD 2021
  15. SIGMOD 2020

Work Experience

  1. 05/2026 - present

    Senior Applied Scientist, Gray Systems Lab, Azure Data, Barcelona, Spain

  2. 04/2021 - 04/2026

    Research Assistant, Data and AI Systems Lab, TU Darmstadt

  3. 06/2024 - 10/2024

    Research Intern, Gray Systems Lab, Azure Data, Redmond, USA

  4. 01/2019 - 09/2020

    Student Assistant, Data Management Lab, TU Darmstadt

    • Support in Teaching
    • Database Research (DB4ML)
    • Data Processing in High-speed Networks (DFI)
  5. 05/2018 - 02/2020

    Student Assistant, Distributed Systems Programming Lab, TU Darmstadt

    • In-Network Processing (Netronome SmartNIC)

Honors

  1. 04/2026

    Ph.D. with Highest Honors (summa cum laude), TU Darmstadt

    Awarded for an outstanding doctoral dissertation

  2. 01/2022

    Best Master's Thesis Award, TU Darmstadt

    Award for outstanding scientific achievements
    Gifted by: Vereinigung von Freunden der Technischen Universität zu Darmstadt e.V.

  3. 06/2021

    SIGMOD 2021 Best Papers Award, ACM SIGMOD/PODS

    Award for most outstanding paper presented at the annual ACM SIGMOD/PODS conference
    More information: Conference web-page