Graduate Research Associate

Columbia University in the city of New York, New York (US)

The project will involve the high level design of an accelerator for ConvNets targeting an application-specific domain. The project is a joint collaboration inside Columbia University between the group of System Level Design at Computer Science and the NEVIS Group at the Department of Physics.

Jul. 2017 - Present

Graduate Student Researcher

EURECOM, Sophia Antipolis (FR)

In the context of the semester project at EURECOM, I spent five months part-time working on a research project on Deep Learning for Unsupervised Learning in the Department of Data Science under the supervision of Prof. Maurizio Filippone. During this period of time, I improved my expertise in Statistical Inference and, in particular, on Gaussian Processes and on their extension to deep architectures. Since these Deep Gaussian Processes has been limited to the case of supervised problems, during the project I extended the existing framework also for unsupervised learning, notably dimensionality reduction and clustering.

Feb. 2017 - Jun. 2017

Undergraduate Student Researcher

Università degli Studi di Genova, Genova (IT)

As part of the Final Thesis for the Bachelor Degree in Electronic and Information Technologies Engineering, I spent part of the last semester in the Department of Electronic Engineering (DITEN @UNIGE) with two other students in developing and evaluating methods for Feature Extraction, notably Histograms of Oriented Gradients, under the supervision of Prof. Gabriele Moser. This method has beed adapted to work with remote sensing multispectral VHR images, in the context of urban area analysis, and applied to a real case scenario.

Apr. 2015 - Sept. 2015

Telecom ParisTech, EURECOM Campus

Master of Science in Engineering - Smart Objects

This program has been based on an interdisciplinary track, merging contributions from Computer Science and Statistics, and addressing numerous applied problems. Through the program, I've got the opportunity to learn basic theoretical frameworks and apply Statistics and Machine Learning methods to many problems of interest, as well as develop the Computer Science skills required to understand, operate and extend Intelligent Systems.

Relevant courses: Machine Learning and Intelligent Systems, Advanced Statistical Inference, Advanced Data Science Topics, Operating Systems, Algorithmic Machine Learning

2016-2018

Politecnico di Torino, Torino

Masters of Science in Electronic Engineering - Embedded Systems

This curriculum has given to me the expertise to design and optimize embedded systems, by integrating system and application aspects. Key topics are the organization of programmable hardware architectures for embedded systems, their software and hardware interfaces, and the implementation techniques in hardware platforms, both integrated and multichip.

Relevant courses: Modeling and Optimization of Embedded Systems, Synthesis and Optimization of Digital Systems, Microelectronic Systems, Computer Architectures, Electronics for Embedded Systems

2015-2017

Università degli Studi di Genova, Genova

Bachelor Degree in Electronic and Information Technology Engineering

Summa cum Laude (110/110 with honors)

The BSc Degree in Electronics and Information Technologies Engineering provided a solid background knowledge in different fields of Electronic Engineering, Information Technologies and Computer Science.

Relevant courses: Advanced Mathematics, Physics, Digital Systems and Analog Electronics, Processing and Transmission of Signals and Images, Systems Theory, Signals and Systems for Telecommunications

2012-2015