PhD Fellow
University of Copenhagen, Department of Computer Science
[06/2025] Selected as part of the SoCC 2026 PC.
[06/2025] I am presenting a research paper and a tutorial at SIGMOD 2025. Check our presentation schedule.
[05/2025] I am defending my PhD on May 28th. Link to Official DIKU invitation.
[04/2025] I am co-organizing the SDPS Summer Rehearsal.
[03/2025] Selected as part of the VLDB 2026 Shadow PC.
[02/2025] Tutorial accepted at SIGMOD'25: Transactional Cloud Applications: Status Quo, Challenges, and Opportunities. This is a result of our collaboration with TU Delft.
[11/2024] I gave a talk at SoCC'24 about our recent accepted paper.
[11/2024] I am co-teaching the Big Data Systems course next block. We are revamping the contents with novel research work and state of practice. We will focus in data-centric programming for the cloud this year, including models, algorithms, and systems. Reach out if you want to hear more.
[10/2024] Paper accepted at SIGMOD'25: Online Marketplace: A Benchmark for Data Management in Microservices.
[09/2024] Paper accepted at SoCC'24: Rethinking State Management in Actor Systems for Cloud-Native Applications.
Rodrigo Laigner is a fourth-year PhD fellow in the Department of Computer Science at University of Copenhagen under the supervision of Prof. Yongluan Zhou. Previously, has been co-advised by Marcos Antonio Vaz Salles.
His research targets devising effective programming abstractions and efficient systems for emerging data-intensive applications. During his doctoral studies, he published relevant articles about distributed data-intensive applications in the cloud.
Rodrigo has been working on the novel vision of a Microservice-Oriented DBMS (MODB). A technical report about the system has been just released on arXiv.
If you are a student from the Master of Science (MSc) in Computer Science and have an interest in pursuing a thesis in topics related to cloud and data systems, do not hesitate to contact me. The projects offered tend to be heavy on implementation, so proficiency in programming languages with concurrency facilities like Java, C, C++, Go, C# is expected.
University of Copenhagen, Department of Computer Science
TU Delft, Data-intensive Systems Group
Tecgraf/PUC-Rio
PUC-Rio, Department of Computer Science
UFF, Department of Computer Science
PhD in Computer Science, University of Copenhagen
Advisor: Yongluan Zhou
Co-advisor: Marcos Antonio Vaz Salles ('Til '22)
MSc in Informatics, PUC-Rio
Advisor: Marcos Kalinowski
BSc in Information Systems, UFF
In cooperation with the University of Colorado
Advisor: Rodrigo Salvador Monteiro
Co-advisor: Marcos Kalinowski