Available for internship opportunities
Bioengineering for Neuroscience MSc student combining an electronics foundation with neuroimaging, neural signal processing, and reproducible data analysis—ready to contribute to ambitious neurotechnology teams.
01 / Selected work
Selected work with inspectable code, documented methods, and technical reports across neuroimaging, neural signals, and implantable devices.
Built a multimodal pipeline integrating structural MRI, dynamic FDG-PET, and resting-state fMRI to study how cortical metabolism relates to network organization.
Methods Tissue segmentation, PET motion correction and SUVR, nuisance regression, Schaefer parcellation, static FC, graph metrics, BrainSpace gradients, and multimodal association.
Developed a reproducible MATLAB workflow from raw continuous-wave fNIRS measurements to cortical HbO/HbR maps on an MNI152 head model.
Methods Channel QC, optical-density conversion, wavelet correction, short-separation regression, GLM-based HRF estimation, Tikhonov DOT reconstruction, and spatial comparison.
Studied a compact, battery-free system for intracranial-pressure monitoring using a dual-band receiver and an MNG metasurface for scalp-implantable IoMT devices.
Reported performance 1.98% PTE, S21 of −17 dB at 22 mm, robust alignment behaviour, and separate 1.7/2.4 GHz bands for simultaneous power reception and telemetry.
Processed 64-channel EEG data to estimate event-related potentials during neutral-versus-painful facial-expression decisions.
Pipeline Preprocessing, epoching, condition comparison, channel-level ERP estimation, and interpretable visualization.
02 / About me
I studied Electronic Engineering in Trieste and now study Bioengineering for Neuroscience in Padua. I’m interested in what happens when the electronics and code I work with meet something as complex as the brain.
The projects on this page are part of that learning process: working with signals and images, checking the steps of an analysis, and trying to understand what the results actually tell me. I’m still at the beginning, and I want to keep learning by working alongside people with more experience.
There’s also a part of me that doesn’t show up in a repository. Team sports and coaching have been part of my life alongside studying. They’ve taught me to listen, to explain something differently when it isn’t getting across, and to pay attention to the people I’m working with. Those are habits I want to bring into my working life too.
Working on websites for clients at BeeToo has given me another perspective: the person asking for something may describe it very differently from the person building it. Taking time to understand each other is part of the work. I’d like to bring that same care to a bioengineering team, together with the technical skills I’m developing.
For my internship, I’m looking for a place where I can ask questions, receive honest feedback, and become useful through the work itself. Analysing data, checking a pipeline, or documenting a method are concrete ways I could start contributing. I want to understand how the team works and gradually take on more responsibility.
03 / Profile
I bring analytical depth, an electronics foundation, client-facing web experience, and the communication skills developed through team sports and coaching.
Experience & education
BeeToo Agency · client-focused web development
University of Padua
University of Trieste
Toolkit
Résumé
Education, technical skills, projects, experience, and languages.