I am currenty a Senior Researcher at Oracle Labs Zurich, working on GraalVM. Before joining Oracle Labs, I was a Post-doc Researcher in the Systems Group, ETH Zurich, which I joined after receiving my PhD in CS from Técnico (University of Lisbon).

Most of my research focuses in the intersection between systems and programming languages. I am especially interested in optimizing language runtimes for cloud environments such as Microservices and Serverless. Besides language runtimes, I work on Operating Systems, and Parallel and Distributed Systems.

Contact me if you are interested in doing research in areas related to runtime languages or cloud environments. There are often open research positions in ETH Zurich (Systems Group), University of Lisbon (INESC-ID Lisbon), and University of Oslo.

• New Boxer: Data Analytics on Network-enabled Serverless Platforms to appear in CIDR’21
  • Michal Wawrzoniak, Ingo Mueller, Rodrigo Bruno, Gustavo Alonso
• New Photons: Lambdas on a diet [Code] to appear in SOCC’20
  • Vojislav Dukic, Rodrigo Bruno, Ankit Singla, Gustavo Alonso
• New Serverless Clusters: The Missing Piece for Interactive Batch Applications? in SPMA’20
  • Ingo Müller, Rodrigo Bruno, Ana Klimovic, John Wilkes, Eric Sedlar, Gustavo Alonso
• Towards High Performance Mobility Simulations [Code] in STRC’19
  • Rodrigo Bruno, Michel Mueller, Gustavo Alonso, Torsten Hoefler
• Runtime Object Lifetime Profiler for Latency Sensitive Big Data Applications [Code] [Slides] in EuroSys’19
  • Rodrigo Bruno, Duarte Patrício, José Simão, Luís Veiga, Paulo Ferreira
• novaVM: Enhanced Java Virtual Machine for Big Data Applications (PhD Thesis)
  • Rodrigo Bruno
• Graviton: Trusted Execution Environments on GPUs in OSDI’18
  • Stavros Volos, Kapil Vaswani, Rodrigo Bruno
• Dynamic Vertical Memory Scalability for OpenJDK Cloud Applications [Code] [JEP 346] [JEP draft] [Slides] in ISMM’18
  • Rodrigo Bruno, Paulo Ferreira, Ruslan Synytsky, Tetiana Fydorenchyk, Jia Rao, Hang Huang, Song Wu
• POLM2: Automatic Profiling for Object Lifetime-Aware Memory Management for HotSpot Big Data Applications [Code] [Slides] in Middleware’17
  • Rodrigo Bruno, Paulo Ferreira
• A study on Garbage Collection Algorithms for Big Data Environments in ACM Computing Surveys 2017
  • Rodrigo Bruno, Paulo Ferreira
• freeCycles - Efficient Multi-Cloud Computing Platform [Code] in Journal of Grid Computing 2017
  • Rodrigo Bruno, Paulo Ferreira
• Locality-Aware GC Optimisations for Big Data Workloads in C&TC’17
  • Duarte Patrício, Rodrigo Bruno, José Simão, Paulo Ferreira, Luís Veiga
• Improving JVM Application Migration and Profiling with Checkpoint/Restore [Slides] in Checkpoint-Restore Microconference, LinuxPlumbers’17
  • Rodrigo Bruno, Paulo Ferreira
• NG2C: Pretenuring Garbage Collection with Dynamic Generations for HotSpot Big Data Applications [Code] [Slides] in ISMM’17
  • Rodrigo Bruno, Luís Picciochi Oliveira, Paulo Ferreira
• ALMA - GC-assisted JVM Live Migration for Java Server Applications [Code] [Slides] [Poster] in Middleware’16
  • Rodrigo Bruno, Paulo Ferreira
• NG2C: N-Generational GC for Big Data Memory Management [Slides] [Poster] in CloudDP’16
  • Rodrigo Bruno, Paulo Ferreira
• Asynchronous Complete Garbage Collection for Graph Data Stores in Middleware’15
  • Luís Veiga, Rodrigo Bruno, Paulo Ferreira
• Termite: Emulation Testbed for Encounter Networks [Code] in MobiQuitous’15
  • Rodrigo Bruno, Nuno Santos, Paulo Ferreira
• freeCycles: Efficient Data Distribution for Volunteer Computing (MSc Thesis)
  • Rodrigo Bruno
• SCADAMAR: scalable and data-efficient internet MapReduce [Code] in CCB’14
  • Rodrigo Bruno, Paulo Ferreira
• freeCycles: efficient data distribution for volunteer computing [Code] in CloudDP’14
  • Rodrigo Bruno, Paulo Ferreira

• 2018 - PhD in CS from Técnico (Pass with Distiction and Honour)
• 2014 - MSc in CS from Técnico (18 out of 20 points)
• 2012 - BSc in CS from Técnico (17 out of 20 points)

• 2020
  • Senior Researcher at Oracle Labs Zurich (current position)
• 2018
  • Post-doc researcher in the Systems Group, ETH Zurich (until June 2020)
  • Google Munich internship on External Memory Accounting for V8 JS Engine (3 months)
• 2017
  • Collaboration with Jelastic on Aggressive Heap Resizing for OpenJDK HotSpot JVM (3 months)
  • Microsoft Research Cambridge internship on Secure Accelerators (3 months)
• 2016
  • Collaboration with Feedzai on Tail latencies of Big Data platforms (3 months)
• 2015
  • Junior Researcher in the Distributed Systems Group, INESC-ID Lisbon (until 2018)
• 2013
  • Member of the sysadmin team for the CS department (RNL) (until 2015)
• 2011
  • Member of the organizing committee of SINFO XIX
  • Summer internship at INESD-ID Lisboa under the supervision of Prof. David Matos

• BSc students
  • Sumer Hohli, High Performance Serverless (Berkeley, ongoing, co-advising with Joao Carreira)
• MSc students
  • David Frickert, FaaS in GraalVM (University of Lisbon, ongoing, co-advising with Luís Veiga)
  • David Nunes, Scheduling Resources in GraalVM (University of Lisbon, ongoing, co-advising with Luís Veiga)
  • Domantas Lionas, Garbage Collection for the Graal Virtual Machine (University of Oslo, ongoing, co-advising with Paulo Ferreira)
  • Fernando Moreira, Termite – Supporting Encounter Based Apps (University of Lisbon, ongoing, co-advising with Paulo Ferreira)
  • Carlos Oliveira, A Performance Comparison of Modern Garbage Collectors for Big Data Environments (University of Lisbon, ongoing, co-advising with Paulo Ferreira)
• PhD students
  • Sanaz Tavakoli, Garbage Collection for Modern JVMs (University of Ostlo, ongoing, co-advising with Paulo Ferreira)

• Shadow Program Committee for EuroSys’20
• Reviewer for Journal of Science Computier Programming
• Reviewer for Journal of Grid Computing

• Head TA for Big Data for Engineers in 2019/2020, Spring Semester, DINFK, ETH Zurich
• TA for Advanced Systems Labs in 2019/2020, Fall Semester, DINFK, ETH Zurich
• TA for Mobile Computing in 2015/2016, 2016/2017, 2017/2018, Spring Semester, MEIC, Técnico
• TA for Mobile Computing in 2015/2016 (Fall and Spring), 2016/2017 (Fall), SISE, INESC-ID Lisbon
• TA for Operating Systems in 2014/2015, 2016/2017, Fall Semester, LEIC, Técnico
• TA for Advanced Programming in 2014/2015, Spring Semester, MEIC, Técnico
• TA for Software Engineering in 2013/2014, Spring Semester, LEIC, Técnico

• Invited to the Google PhD Internal Research Conference 2018
• Invited to the Google Compiler and Programming Language Summit 2017 and 2019
• Awarded the “excellence” recognition for teaching in 2014/2015, 2017/2018, 2017/2018
• Awarded 2nd place in the Fraunhofer Portugal Challenge 2018 in the PhD category
• Awarded the Doctoral Student Merit Award 2017 by the Distributed Systems Group at INESC-ID Lisboa
• Research work mentioned in Reducing Memory Usage to Speed Up Live Migration
• Invited submission to the Journal of Internet Services and Applications (JISA) by CCB’14 organizing committee
• Merit Award from EJEA, given to the top three students finishing under graduate degree