Matteo Marra

About

I am a researcher and software developer with a great interest in tooling, distributed systems, and the combination of those two.

I have great experience working with (and on) object oriented and functional languages, as well as reflective systems and debuggers.

I have lived in Italy, Spain, and Belgium, and I love working in an international environment.

I love challenges and exploring new solutions to old and new problems.

Software Engineer & Researcher

Birthday: August 1993
Degree: Master & PhD in Computer Science
Website: mmarra.it
City: Brussels, Belgium

Currently I am a researcher at Nokia Bell Labs, focusing on innovative research on federated stream processing and involved in several project that are being transferred on Nokia products.

After completing my bachelor in computer science and engineering at the Università degli Studi di Bologna (campus of Cesena), I pursued a master at the Vrije Universiteit Brussel, followed by a PhD at the same university obtained in May 2022.

While doing my master, I worked as a part-time software developer for Elements, a company that builds instrumentation for electrophysiology. There, I was responsible of the creation and maintenance of EDR 3, a software for realtime visualization and analysis of data, and EDA, an offline data analysis software.

During my PhD, I worked at the Software Languages Lab under the supervision of prof. dr. Elisa Gonzalez Boix . My PhD was supported by a Strategic Basic research grant from FWO (Flemish research fundation). I also cooperated with the RMoD resarch lab of prof. dr. Stéphane Ducasse at INRIA Lille - Nord Europe under the supervision of dr. Guillermo Polito.

After a short post-doc at the Software Languages Lab where I worked on debugging of asynchronous programs on Truffle languages, I moved to Bell Labs for exploring new avenues of research.

I speak Italiano, English, Español, and Français.

Skills

Below you can see the list of programming languages and frameworks I am most familiar with

Typescript/Javascript @ Node.js Work Experience (Current Role)

Pharo SmallTalk Work Experience

Java Work Experience

PythonWork Experience (Current role)

C/C++ Work Experience

Scala Work Experience

Spark Deep Knowledge

Map/Reduce Very Good Knowledge

QT Past Work Experience

I also have knowledge and student experience using Common Lisp, Erlang, Clojure, Scheme, Haskell, SQL, HTTP

Resume

Download Full CV

Summary

Matteo Marra

Research-oriented software developer with a PhD on debugging Big Data applications and work experience in real-time analysis of data.

Strong experience in programming distributed systems
Located in Brussels, Belgium
Email: contact.mmarra \at gmail \dot com

Education

Doctor of Sciences

2017 - 2022

Vrije Universiteit Brussel, Belgium

PhD titled "A live debugging approach for big data processing applications"

Master of Science in Computer Science

2015 - 2017

Vrije Universiteit Brussel, Belgium

Degree obtained with Great Distinction

Bachelor in Computer Science and Engineering

2012 - 2015

Università di Bologna, Italy

Degree obtained cum laude

Professional Experience

Researcher Software Engineer

2023 - Present

Nokia Bell Labs, Belgium

Research on distributed and federate stream processing
Focus on novel solutions and applicability to industrial producs in the context of industry 4.0
Supervise interns, collaborate with universities and PhD students

Post Doctoral Researcher

2022

Vrije Universiteit Brussel, Belgium

Continuation of my PhD reserach over debugging Big Data applications
Supervise Bachelor and Master students
Collaborate with PhD students, particularly to apply my approach to IoT applications

Pre Doctoral Researcher

2017 - 2022

Vrije Universiteit Brussel, Belgium

Devised a novel debugging solution for Spark-like and Map/Reduce applications
Prototyped two debuggers
Developed two frameworks for distributed Big Data processing in Pharo Smalltalk
Cooperated with the RMoD Lab at INRIA Lille
Teaching Assistant for the Metaprogramming and Reflection master course (5 academic years)
Teaching Assistant for the Big Data Processing master course (5 academic years)