I am currenty an Invited Assistant Professor at Técnico (University of Lisbon), and a Senior Researcher at Oracle Labs Zurich, working on GraalVM. Before, 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.

The following projects are hiring PhD students:

• Serverless Function Co-execution with Native Image Isolates. Apply here!

• Efficient Data Structures with GraalVM Native Image. Apply here!

• New Compiler-Assisted Object Inlining with Value Fields to appear in PLDI’21
  • Rodrigo Bruno, Vojin Jovanovic, Christian Wimmer, Gustavo Alonso
• New Hermes: Enabling efficient large-scale simulation in MATSim [Code] in ABMTRANS’21
  • Dan Graur, Rodrigo Bruno, Joschka Bischoff, Marcel Rieser, Wolfgang Scherr, Torsten Hoefler, Gustavo Alonso
• New Boxer: Data Analytics on Network-enabled Serverless Platforms [Talk] in CIDR’21
  • Michal Wawrzoniak, Ingo Mueller, Rodrigo Bruno, Gustavo Alonso
• New Photons: Lambdas on a diet [Code] [Talk] 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

• 2021
  • Invited Assistant Professor at Técnico (University of Lisbon) (current position)
• 2020
  • Senior Researcher at Oracle Labs Zurich (current position)
• 2018
  • Post-doc researcher in the Systems Group, ETH Zurich (until June 2020)
  • PhD in CS from Técnico (Pass with Distiction and Honour)
  • 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)
• 2014
  • MSc in CS from Técnico
• 2013
  • Member of the sysadmin team for the CS department (RNL) (until 2015)
• 2012
  • BSc in CS from Técnico
• 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 (UC Berkeley, ongoing, co-advising with Joao Carreira)
• MSc students
  • Sutao Wang, Fine-grain isolation of Servcerless Functions (ETH Zurich, ongoing, co-advising with Ingo Mueller and Gustavo Alonso)
  • David Frickert, Performance Isolation of Colocated Serverless Functions (University of Lisbon, ongoing, co-advising with Luís Veiga)
  • David Nunes, Scheduling Serverless Functions (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

• Cloud Computing and Virtualization in 2020/2021, Spring Semester, MEIC, Técnico
• 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
• Research work mentioned in Introducing HERMES
• 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

• Mobility simulator Hermes used in production at SBB and merged into MATSim
• External memory tracking system developed during intership used in V8 JS Engine
• Elastic memory contribution deployed in OpenJDK HotSpot JVM (JEP 346)
• Socket-based live process migration integrated into CRIU