Rodrigo Laigner
Scholar

Rodrigo Laigner

Google Scholar ID: khv828cAAAAJ
University of Copenhagen
Data-intensive ApplicationsCloud Data ManagementEvent-based Systems
Citations & Impact
All-time
Citations
297
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
3
list available
Resume (English only)
Academic Achievements
  • - 2025: Paper accepted at SIGMOD 2025: 'Online Marketplace: A Benchmark for Data Management in Microservices'
  • - 2024: Paper accepted at SoCC'24: 'Rethinking State Management in Actor Systems for Cloud-Native Applications'
  • - 2025: Selected as part of the VLDB 2026 Shadow PC
  • - 2025: Invited as part of the SoCC 2025 PC
  • - 2025: Tutorial accepted at SIGMOD'25: 'Transactional Cloud Applications: Status Quo, Challenges, and Opportunities'
  • - 2024: Gave a talk at SoCC'24 about a recently accepted paper
Research Experience
  • - 2025 - present: PhD Fellow, University of Copenhagen, Department of Computer Science
  • - 2024: Visiting Researcher, TU Delft, Data-intensive Systems Group
  • - 2020-2018: R&D Engineer, Tecgraf/PUC-Rio
  • - 2020-2018: Graduate Research Fellow, PUC-Rio, Department of Computer Science
  • - 2016-2015: Undergraduate Research Fellow, UFF, Department of Computer Science
Education
  • - PhD: 2025, Computer Science, University of Copenhagen, Advisor: Yongluan Zhou, Co-advisor: Marcos Antonio Vaz Salles (until 2022)
  • - MSc: 2020, Informatics, PUC-Rio, Advisor: Marcos Kalinowski
  • - BSc: 2017, Information Systems, UFF, Advisor: Rodrigo Salvador Monteiro, Co-advisor: Marcos Kalinowski, In cooperation with the University of Colorado
Background
  • Research Interests: Effective programming abstractions and efficient systems for emerging data-intensive applications. Professional Field: Cloud & Data Systems. Bio: Rodrigo Laigner recently finished his PhD in the Department of Computer Science at the University of Copenhagen, focusing on designing effective programming abstractions and efficient systems for emerging data-intensive applications.
Miscellany
  • Personal Interests: Welcomes Master of Science students interested in pursuing a thesis in topics related to cloud and data systems.