As a Visiting Lecturer in the Faculty of Management Sciences at Veritas University Abuja, my role includes delivering an annual seminar aimed at enhancing students' academic and professional skills, particularly within the Digital Skills Training Program. This position involves collaborating with the university's faculty to design and implement remote workshops, fostering digital literacy and management capabilities among students. My appointment is for an initial term of two years. I am excited to contribute to the university’s mission of providing high-quality education and supporting student growth through innovative, tech-driven learning methods.

As an Advisory Board Member for California Brainwaves, I contribute to the organization's mission of leveraging neurotechnology for charitable and benevolent applications, with a particular focus on supporting neurodiverse individuals. This role fosters collaboration among professionals in the neuroscience field, driving innovative brain-computer interface solutions that aim to enhance quality of life and create positive societal impact.

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 publicAchievements/contributions: • Contributed to the online Python data challenge related to the EEG-notebooks repositoryhttps://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

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.

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)

Role: Senior BCI Engineer | Project ManagerResponsible 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

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 dataActivities:• 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.

Role: BCI Researcher | Data AnalystI 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

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

Role: Senior Researcher | Data Analyst | LecturerI 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

Role: Senior Researcher | Data AnalystI 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).

Role: Senior Researcher | Data Analyst | Teaching mentorI 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

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

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

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

Role: Researcher | Academic-Industrial liaisonI 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 camerasAchievements:• 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

Role: Researcher in the R&D department of Molecular Modelling | Data Scientist | Software DeveloperI developed software and data analysis methods for the molecular modelling lab to assess the effect of new drugs on animal modelsAchievements:• 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

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)

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

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 systemhttp://www.spacestationresearch.com/research/elite-s2-an-instrument-for-motion-analysis-on-board-the-international-space-station/

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.