Professional Freelancer

Scientific Software Developer

• Scientific software development for data analysis and interactive exploration
• HPC and GPU computing (CUDA, OpenCL, GPGPU techniques)
• 3D and volume visualization using OpenGL/WebGL/WebGPU
• Image processing and high-throughput data pipelines
• UI/UX design for both desktop (Qt, C++, Python) and web (React, Javascript, TypeScript) applications

Major open source contributions and collaborations:

• DNA-HIVE/Weill Cornell Medical Center collaboration (Presbyterian hospital/Cornell University, New York, USA)
• OHIF viewer, RadicalImaging/IDC collaboration (Harvard Medical School, Boston, USA)
• SLIM microscopy viewer, RadicalImaging/IDC collaboration (Massachusetts General Hospital, Boston, USA)
• Major contributions to 3DSlicer – a C++/Python image computing platform optimized for 2D/3D visualization
• SlicerAstro maintenance (Kapteyn Astronomical Institute, Groningen, Netherlands)

Examples of successfully deployed projects:

• ibpark: a Qt-VTK GUI for a CDF (computational fluid dynamics) immersed boundary solver and related grid generator;
• CPA: an application for caisson patient assessment using temporal computed tomography (CT) scan of hearths.

Scientific Software Developer

Kapteyn Astronomical Institute, University of Groningen.
Development of SlicerAstro, an extension to 3DSlicer for the 3D visualization and analysis of neutral hydrogen (HI) astronomical data:

• Designed and implemented advanced modules in C++ and Python to support quantitative 3D visualization workflows, using VTK for rendering and Qt for interactive GUI components
• Contributed upstream to the 3D Slicer core, including the development of a new interactive plotting infrastructure and enhancements to synchronized multi-view 3D navigation
• Integrated domain-specific visual analytics techniques—merging custom algorithms with responsive user interface elements—to streamline the interpretation of complex volumetric datasets
• Focused on improving performance, usability, and scientific insight for astronomers working with large-scale HI survey data

Visiting Scholar: Kitware Inc.

Conducted a focused research visit at Kitware’s Carrboro office to develop and integrate custom features for 3D Slicer, supporting SlicerAstro and related extensions. Key contributions included:

• Implementing support for managing custom orientation presets within 3D Slicer to enhance user workflow flexibility
• Developing GPU-accelerated volumetric filters to improve performance and processing speed for large scientific datasets

Collaborated closely with Kitware’s expert developers, under the mentorship of J.C. Fillion Robin, to deliver robust and optimized solutions aligned with the 3D Slicer ecosystem.

PhD Astronomy

Kapteyn Astronomical Institute, University of Groningen.
3D Visualization and Analysis of HI in and around galaxies.
Developed SlicerAstro, an extension for 3D Slicer tailored to radio-astronomical data (HI), enabling advanced 3D visual analytics for large-scale galactic datasets. Led the project from concept through design, development, and publication:

• Initiated and led the full development cycle of SlicerAstro to visualize and analyze 3D HI data from upcoming blind surveys
• Conducted deep analysis of astronomical data structures and image processing needs to define interactive visualization workflows
• Designed software architecture and roadmap using Agile principles to ensure iterative development and reproducibility
• Focused on innovation in volume rendering, 3D modeling of galaxies, and human–data interaction

The thesis is available at the following link.
Supervisor: prof. dr. J.M. (Thijs) van der Hulst.

Visiting Scholar: Leiden Observatory.

A scholar visit at the Leiden Observatory (Netherlands) for:

• including HiGPUs (a N-body code running on cluster equipped with GPUs) in the framework of AMUSE (Astrophysical Multipurpose Software Environment);
• investigating solar system dynamics exploiting several Dutch cluster infrastructures such as SARA.

The visit was hosted by prof. dr. S. Portegies Zwart and funded also by the HPC-Europa2 grant I won (number: 1249).

PhD Astronomy

Department of Physics, University of Rome.
Hybrid CPU-GPU cluster N-body simulations and solar system dynamics.
I specialized in scientific computing focusing on the exploitation of GPU in HPC. I contributed in a major way to HiGPUs (a N-body code running on cluster equipped with GPUs) and I studied solar system dynamics trough N-body simulations. The PhD ended prematurely because of absence of funds. Supervisor: prof. dr. R. Capuzzo Dolcetta.