About me

I am a PhD student in the Large-Scale Data & Systems Group (LSDS) at Imperial College London, under the supervision of Prof. Peter Pietzuch and Prof. Dr. Jana Giceva. My research interests lie within the broad area of systems including large-scale distributed systems, systems support for data analytics in the cloud environment, cluster resource management, and distributed query processing with emphasis on modern hardware.

Before joining the LSDS group, I was a Research Intern at Nokia Bell Labs working on DreamAnalyzer. I also did my Bachelor of Science and Master of Science in Computer Science at Roma Tre University.

Feel free to contact me directly.

  • Distributed Systems
  • Databases
  • Data Management
  • Data Analytics
  • Networking
  • NLP
  • PhD in Computer Science, 2019 - Present

    Imperial College London

  • MSc in Computer Science, 2015 - 2017

    Roma Tre University

  • BSc in Computer Science, 2012 - 2015

    Roma Tre University

Working Papers

(2022). Towards NUMA-Aware Distributed Query Engines.

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(2020). Our dreams, our selves : automatic analysis of dream reports. Royal Society Open Science.

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(2019). Exploiting semantics for context-aware itinerary recommendation. Personal and Ubiquitous Computing.

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(2018). Enhancing Itinerary Recommendation with Linked Open Data. International Conference in Human-Computer Interaction.

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Short CV

Research and Software Engineer Intern
Oracle Labs
Apr 2019 – Dec 2019 Zürich ,Switzerland
Part of the research team involved in the development of HeatWave, an in-memory analytics accelerator for MySQL. Implemented primitives (low-level operations in HeatWave) to increase query offloads to HeatWave. Investigated various OCI (Oracle Cloud) storage services for supporting high availability and elasticity. Defined and evaluated a new NUMA-aware deployment strategy for the HeatWave execution engine.
Research Intern
Nokia Bell Labs
Mar 2018 – Sep 2018 Cambridge, United Kingdom
Built a system for quantitative analysis of the content of people’s dreams in textual form from scratch. The system automatically scores dream reports by operationalizing the widely used dream analysis scale by Hall and Van de Castle. Through the developed system is possible to quantify important aspects of dreams, making it possible to build technologies that bridge the current gap between real life and dreaming.
Undergraduate Research Assistant
AI Group, Roma Tre University
Jun 2017 – Dec 2017 Rome, Italy
Implemented a context-aware social recommendation system for suggesting routes that meet the user’s preferences and needs, as well as being sensitive to the physical and social context. Points of interest are extracted from the Linked Open Data using SPARQL queries.
Undergraduate Research Assistant
Big Data Group, Roma Tre University
Mar 2017 – Jul 2017 Rome, Italy
Implemented a polystore system built on top of relational and non-relational DBMS (PostgreSQL, MongoDB and Neo4j). Through the system, the user is able to query all databases through SQL queries and retrieve the results as a single JSON.