Rodrigo Laigner is a fourth-year PhD student in the Department of Computer Science at University of Copenhagen .
He is a research scholar in data management systems for Data Management Systems Group at University of Copenhagen since 2020 under the supervision of Prof. Yongluan Zhou and Associate Prof. Marcos Antonio Vaz Salles which is part of the Software, Data, People & Society Research Section from the Department of Computer Science at University of Copenhagen. His main research interests are microservices, event-driven architecture, and big data systems. His research output is available in publications.
He holds a Master's in Informatics from PUC-Rio (2020). It is noteworthy that the postgraduate program of the Department of Informatics is evaluated by the Brazilian Federal Agency for Postgraduate Education (CAPES) as being of international excellence (maximum score, 7). Has successfully finished the master's thesis before the deadline, with related publications, and high academic performance. Rodrigo holds a Bachelor's degree in Information Systems from the Fluminense Federal University (UFF), Brazil (2017), in cooperation with University of Colorado Denver (UCD), USA (2014-2015). The Information Systems major received the maximum grade in the annual test ENADE (Brazilian assessment test for higher-education) in 2015. The results of his bachelor's thesis was published in SEAA 2018. Due to his academic performance, has been invited by the Computer Science department to pursue graduate studies.
He has worked extensively in industry for projects in software engineering and data management systems, mostly related to event-driven architecture, microservices, web-based and data-centric systems, including but not limited to software architecture and design of large scale systems, optimization of access patterns of ORM source code, and database migration and tuning. Furthermore, has worked for research projects in software engineering, information systems, and data systems. Relevant venues have accepted his work for publication, such as the Conference on Very Large Data Bases (VLDB), Conference on Distributed and Event-Based Systems (DEBS), The Journal of Systems and Software (JSS), and EuroMicro Conference on Software Engineering and Advanced Applications (SEAA).
Feel free to contact me. Specially if you are a researcher looking for collaboration.
Department of Computer Science - University of CopenhagenSpoken Languages: English (fluent); Spanish (intermediary); Portuguese (mother language).
[MSc] Adam Zdziechowski and Klaus Philipp Theyssen (2023). Monitoring Safety Properties in Event-Driven Microservices. Co-supervision with Yongluan Zhou.
[BSc] Oskar Uldall (2023). Designing Event-Driven Microservices on Azure Fabric Platform.
[MSc] Marko Milic (2022). Application-Level Data Integrity Enforcement in Event-Driven Microservices. Co-supervision with Yongluan Zhou.
[MSc] Anna Lesniak (2021). Enforcing Data Consistency in Event-Driven Microservices through Event-Based Constraints. Co-supervision with Yongluan Zhou.
[MSc] Prangshuman Das (2021). Identifying and Quantifying Feral Anomalies in Event-Driven Applications. Co-supervision with Yongluan Zhou.
[MSc] Big Data Systems (ACS), 2021-2022 and 2022-2023, Block 2. Master of Science (MSc) in Computer Science.
[MSc] Advanced Computer Systems (ACS), 2020-2021 and 2021-2022, Block 2. Master of Science (MSc) in Computer Science.
VLDB 2023, EDBT 2023, ICDE 2021, CIKM 2021, ICDE 2020, CIKM 2020, SSDBM 2020