Head of Business Development and Partnerships

• Aug 2022 - Present

Program Manager for Partnerships

• Jan 2022 - Aug 2022

Business Development | Marketing | Sales Consultant

• Jun 2021 - Dec 2021

Executive Board Member - Volunteer

• Feb 2020 - Present

Role: co-organizer of the Toronto chapter. NeurotechX has three pillars: Community Education and Innovation. • Community: to connect people working in the domain of Neuroscience, Data Science and Biomedical Engineering • Education: to participate in the divulgation of brain-computer interface expertise through articles, blog posts or remote courses and mentoring • Innovation: to participate in the effort of providing innovative BCI solutions to the big public Achievements/contributions: • Contributed to the online Python data challenge related to the EEG-notebooks repository https://github.com/NeuroTechX/eeg-notebooks • Actively contributed to the NeurotechX blog • Published a perspective article about brain-computer interfaces for assistive technology in aging for the Berkeley student's magazine 'Mind' https://neurotech.berkeley.edu/mind.html • Played around with the following Python packages for the project: Eeg-notebooks, Pygatt, Multiprocessing, Psychopy, Brainflow, Muselsl, Pylsl, Socket Show less

Mentor

• Jul 2018 - Present

Role: I am an on-demand mentor for the Rockstart AI accelerator in Den Bosch and the Digital health hub in Nijmegen. Activities: In the past I participated in Rockstart networking socials and I was onboarded in the mentoring program for the AI accelerator as business development consultant. Role: I am an on-demand mentor for the Rockstart AI accelerator in Den Bosch and the Digital health hub in Nijmegen. Activities: In the past I participated in Rockstart networking socials and I was onboarded in the mentoring program for the AI accelerator as business development consultant.

Head Of Business Development

• Aug 2021 - May 2022

Senior Data Scientist

• Mar 2021 - Jun 2021

Python development of machine learning and data analysis pipelines for credit risk assessment. Advanced SQL queries, productionalization of Python pipelines with Kedro toolbox, Apache Airflow and AWS micro services. Planned a project to infer causality of credit signals among stakeholders with graph knowledge base analysis (Neo4j) Python development of machine learning and data analysis pipelines for credit risk assessment. Advanced SQL queries, productionalization of Python pipelines with Kedro toolbox, Apache Airflow and AWS micro services. Planned a project to infer causality of credit signals among stakeholders with graph knowledge base analysis (Neo4j)

Senior Software Engineer | Biosignals Engineer | Senior Data Scientist

• Oct 2018 - Mar 2021

Role: Senior BCI Engineer | Project Manager Responsible for the development of real-time EEG algorithms programmed on a wearable EEG headset for BCI. Product Manager of a consumer market wearable: this role entails aspects of industrial design, hardware and software development, supply chain and product management with multiple partners. Co-responsible for the development of the headset board and first prototype. Co-developer for the Bluetooth BLE interface. Co-developer of the Apple store Speakprose app. Achievements: • Leadership: onboarding of interns and coordination of software development activities of a small team, project management of the supply, assembly and testing for the hardware of the custom EEG headset (in concert with multiple industrial partners) • Development of two fast and precise on-chip algorithms for real-time brain states decoding in C++ and tested them with a Jupyter / Python rapid prototyping script • Co-development of a BLE interface to allow iPad users to control the EEG board acquisition parameters in C++ • Improvement of the eye-tracking interface in Speakprose for better speed and additional landscape mode (Swift 5, ARKit 3) • Publication of a white-paper about brain-machine interface standardization methods within the IEEE standard association framework • Publication (in preparation) of a peer-reviewed paper in collaboration with York University • Experience in compilation, deployment and migration of the backend core cloud architecture (AWS) from Node.js 8 to Node.js 12 using Hashicorp Terraform scripts Show less

Guest Reseach Fellow | Data Analyst

• Jan 2017 - Oct 2019

Role: as Guest Researcher in the Neurobiology of Language group I participated in group meetings and developed code for anatomy reconstructions of fetal brain ultrasound images and adult intracranial data Activities: • Applied machine learning techniques to intracranial human recordings to understand how the brain reacts to visual stimuli and forms task-dependent networks of neuronal activities. • Participated to the scientific department activities of the Neurobiology of Language research group. Show less

BCI Data Scientist | Software Engineer

• Oct 2017 - Jun 2018

Role: BCI Researcher | Data Analyst I worked on the developed of a MatLab prototype and of C++ algorithms for real-time data analysis of EEG data to decode brain states, related to visual items selection. Achievements: • Improvement of the architecture of the source code and identified algorithms bottlenecks • Co-development and the porting of code from MatLab to C++ • Development of the ‘zero-training’ feature to facilitate an easier use of the product, without an explicit lengthy training phase • Demonstrated the product at the 2018 BCI Society's conference in Asilomar, California Show less

Senior Post Doctoral Researcher

• Sep 2016 - Jul 2017

Role: Senior Researcher | Data Analyst I designed a data analysis pipeline to extract information from intracranial EEG datasets and investigate brain function during the execution of a face recognition tasks. Achievements: • Set up of the analysis of stimuli features from scratch (facial traits) • Carried out the analysis of local field potential time traces from the brain with a Fourier approach • Co-developed the analysis to achieve a volumetric coregistration of electrodes' geometry and anatomical brain images (CT, MRI), and I assigned brain region labels to electrodes' leads • Training of the local personnel to conduct further analysis Show less

Postdoctoral Fellow

• Apr 2014 - Sep 2016

Role: Senior Researcher | Data Analyst | Lecturer I carried out research related to the cognition of hearing by means of brain implants (electrocorticography). I was involved in the development of software pipelines employing machine learning methods for single trial analysis and real time applications (Project A16 in the Hearing4all.de university excellence cluster). This meant the use of advanced applied machine learning techniques to estimate encoding and decoding models of speech in the brain. Achievements: • Authored a paper about audiovisual integration in the brain in a high profile peer-reviewed journal • Co-authored a peer-reviewed paper about machine learning models in Python applied to intracranial data • Co-authored a perspective conference paper in a peer-reviewed journal following up a poster presentation at the International Multisensory Research Forum in Pisa (2016) • Co-authored and supervised the publication of a peer-reviewed conference paper in an engineering conference (Interspeech 2016) • Co-authored a peer-reviewed paper in a high profile journal about language and sentence processing with functional MRI in the brain Show less

Postdoctoral Fellow

• Jul 2012 - Dec 2013

Role: Senior Researcher | Data Analyst I assisted in the data acquisition and data analysis of intracranial implanted grids and strips. The recordings were acquired from epilepsy patients during their hospitalization period. I also analyzed data previously acquired with Magnetoencephalography to determine speech understanding in the brain. Achievements: • Data Analysis of human ECoG data during a visual attention experiment. The analysis aimed at determining the functional connectivity on human brain invasive data, by means of advanced non-parametric statistics, and in disentangling noise from experiment related brain signals. • The results of the first study were published in a high profile peer-reviewed international journal. • The results of the second study were presented as poster in an international Neuroscience conference (OHBM). Show less

Postdoctoral Fellow

• Jul 2012 - Dec 2013

Role: Senior Researcher | Data Analyst | Teaching mentor I assisted in the data acquisition and data analysis of intracranial implanted grids and strips in monkeys and humans. The human recordings were acquired from epilepsy patients during their hospitalization period. The non-human primate research activity focused on hippocampus electrophysiology and 3D coregistration of electrodes to brain CT/MRI scans Achievements: • Co-authored a highly cited peer-reviewed paper in a high profile international Neuroscience journal •Mentoring and teaching assistant for the local FieldTrip workshop teaching students how to analyze brain data Show less

Postdoctoral Fellow

• Mar 2009 - May 2012

Senior Researcher | Data Analyst | Guest Lecturer As member of the Neuronal Oscillations group I participated in the development of data analysis pipelines for the determination of oscillatory brain signatures corresponding to visual stimuli presented at different positions of a monitor, within a non-human primate intracranial experiment (visual attention). I also developed forward electromagnetism models with the aim to localize deep electrical activities from surface cortical electrodes implanted on three monkeys' brains. Achievements: • Contributed to a journal publication in a high impact international peer-reviewed paper • Presented a poster about visual receptive fields in the European Neuroscience conference (FENS) • Participated in the software development of an open-source MatLab toolbox http://www.fieldtriptoolbox.org/ • Lectured as teaching assistant at the annual MEG toolkit course for undergraduate/graduate students and external participants • Carried out the analysis of electrocorticography data acquired in human patients affected by epilepsy, in collaboration with the UMC Utrecht hospital intensive care unit • Lectured as teaching assistant and data analysis mentor during several FieldTrip workshops all over the world Show less

PhD student

• Nov 2005 - Mar 2009

Role: PhD researcher in the field of fetal and adult Neuroscience. Thesis topic: Fetal magnetoencephalography (fMEG), adult magnetoencephalography (MEG), source localization with beamformer techniques, study of cerebral activity for voluntary muscular control. Achievements: • Conducted experiments and analyzed data of ultrasound, MEG - magnetoencephalography and fetal MEG data to evaluate brain activity in the fetal and adult brain • Developed a new technique for cortico-cortical brain sources reconstruction and synchronization by means of a beamformer algorithm, published the results in an international peer-reviewed paper • Improved the superimposition technique of electrophysiology brain activity and ultrasound brain anatomy for fetal brain activity imaging, published the results in a high impact factor paper • Authored a peer-reviewed paper about fetal brain activity on a high impact journal • Authored a peer-reviewed paper on a novel method for brain sources localization in adults Show less

visiting PhD student

• 2007 - 2008

Role: PhD researcher in the field of fetal neuroscience Achievements: • I participated in departmental scientific activities • I assisted in the research on fetal magnetoencephalography in the SARA lab at UAMS Role: PhD researcher in the field of fetal neuroscience Achievements: • I participated in departmental scientific activities • I assisted in the research on fetal magnetoencephalography in the SARA lab at UAMS

Researcher

• Apr 2005 - Oct 2005

Role: Researcher | Academic-Industrial liaison I worked as SW engineer in a multimedia lab developing videoconference R&D solutions, programming for Videoconference software, using DirectX real time drivers for video capture and sterophotogrammetry for 3D. face reconstruction from stereo web cameras Achievements: • Co-developed a software for videoconference and 3D image tracking and reconstruction in real-time • Co-supervised a PhD student acting as liaison between the multimedia industry lab and the university • Developed a MySQL database and a C# visual interface for interactive user-friendly queries Show less

Researcher

• Mar 2002 - Mar 2005

Role: Researcher in the R&D department of Molecular Modelling | Data Scientist | Software Developer I developed software and data analysis methods for the molecular modelling lab to assess the effect of new drugs on animal models Achievements: • Developed a MatLab analysis pipeline and visualization GUI for the estimation of malignant tumours grade by means of a tri-compartmental diffusion model on data collected with a high field MRI and a proprietary contrast agent compound • Co-developed a MatLab software to infer the relation between drugs molecular descriptors and biological effects (multivariate analysis) • Managed a documents lifecycle software (Microsoft Espresso) • Developed an Excel-like GUI with a statistical application back-end in C++ (MSVC) to calculate linear and quadratic regression from tabulated data Show less

Software Developer

• Sep 2000 - Mar 2002

Role: Software Engineer | Hardware Engineer My job consisted in developing and testing hardware and software for space, satellite and avionics companies. I developed digital circuits with a FPGA programming and testing environment, I also used the LabView real-time testing platform. Achievements: • Developed an FPGA - Field-Programmable Gate Array microcontroller for stage 2 engine of the Ariane IV space rocket (VHDL) • Ran analog electronics sensitivity analysis and thermal simulations for various satellites producers (Fortran, PSpice) • Wrote technical documentation and assessed correctness of analog circuits schematics (OrCAD, PSpice, LabView) Show less

Carabiniere ausiliario

• Aug 1999 - Aug 2000

Role: I served in the Carabinieri Corp as aid worker for criminal investigations. My tasks as a military volunteer consisted, during the first 3 month academy phase, in learning about public security and law enforcement, and military training. In the second phase I got assigned to the Department of Scientific Investigations. My duties included the investigation of crime scenes, documentation of specimens and the review and drafting of official analyses reports for trial documentation. Achievements: • Developed a MatLab script for the filtering of video camera mages during crime scenes • Performed IT assistance tasks for the crime investigation department • Assisted in various policing and training duties within the military jurisdiction Show less

Master Engineering

• 1992 - Apr 1999

Thesis topic: Gait analysis in microgravity-space environment by means of real-time CCTV video frames acquisition and analysis with an FPGA. In collaboration with Fondazione Don Gnocchi, Milano. Achievement: The thesis proved the feasibility of a high speed and high pixel resolution image analysis custom digital circuit. The result proved that correlation with a template image was feasible at 200 Hz for high speed movement acquisition cameras. The prototype circuit inspired the actual circuitry on-board the ISS spatial station within the framework of the ELITE-S2 system http://www.spacestationresearch.com/research/elite-s2-an-instrument-for-motion-analysis-on-board-the-international-space-station/ Show less

Internship

• Jul 1995 - Dec 1995

Role: Intern in the Audiometry lab for the standardization of speech stimuli. During the internship I was tasked with reading the literature about automatic speech recognition and standardization of speech stimuli. Role: Intern in the Audiometry lab for the standardization of speech stimuli. During the internship I was tasked with reading the literature about automatic speech recognition and standardization of speech stimuli.