Download my resume as a PDF here.

Education

Ph.D. Electronics and Communications Engineering
Polytechnic University of Turin, Italy, 2008 – 2011

Dissertation: Computational Methods for Microwave Imaging. Biomedical Applications (Ph.D. Dissertation).

M.Sc., (Laurea Specialistica), Biomedical Engineering
Polytechnic University of Turin, Italy, 2005 – 2007

Microwave Tomography for Breast Cancer Detection.

B.Sc., (Laurea Triennale), Software Engineering
University of Palermo, Italy, 2001 – 2004

Noise Reduction in Magnetic Resonance Imaging.

Employment History

Senior Developer-Electromagnetic Solutions at Altair Engineering GmbH, Germany
July 2014 – Present

  • Discontinuous Galerkin Method for Integral Equations tackling non-conformal non-overlapping meshes (link).
  • Engineered efficient, rapid, and dependable preconditioners for solving sparse matrix equation systems, achieving a 15x acceleration compared to sequential code using Intel MKL.
  • Implemented GPU-based ray tracing acceleration for electromagnetic optics, resulting in a performance increase of up to 20 times compared to a single core.
  • Developed novel algorithms for modeling metamaterial objects within Altair Feko’s Finite Element Method (FEM) solver.
  • Enhanced the performance of the time-based solver, achieving a measured speedup of up to 10x relative to a sequential solver.
  • C++ evangelist.

Postdoctoral Research Fellow at Polytechnic University of Turin, Italy
July 2013 – June 2014

  • I successfully developed and deployed rapid and dependable algorithms for computational electromagnetic code in biomedical and industrial applications, leveraging GPU acceleration. A portion of the algorithms I created was incorporated into the MICENEA project.

Researcher at Istituto Superiore Mario Boella, Turin, Italy
January 2011 – June 2014

  • I designed, simulated, and built RF devices and antennas in complex media. My main contribution was on a joint project with an industrial third party: RADIODRY.

Early company member at NE Scientific LLC, Boston, MA, USA
January 2011 – December 2013

  • At NE Scientific LLC, I developed a GPU-based sparse linear solver in medical imaging. The solver was up to 8 times faster than Intel PARDISO MKL on the sequential core (see published paper).

Research Assistant at Thayer School of Engineering, Dartmouth College, Hanover, NH, USA
January 2011 – August 2011

  • My research pursuits centered on high-performance computing algorithms tailored for a multi-modal image guidance system that is aimed at enhancing the precision of prostate biopsy and disease staging. Primarily engaged in a project funded by an NIH Grant (Project Number: 1RC1EB011000-01), I successfully developed algorithms that substantially accelerated various aspects of the aforementioned imaging system by up to 20x, utilizing multiple GPUs (see published paper, Bioimpedance group).

Spare Time Projects

Currently busy with:

  • Ethereum blockchain.
  • Solidity Programming Language.
  • Smart Contracts and Web3.