As Postdoctoral Research Fellow at the Multi-Sensory Devices Lab in 'Interfaces' (H2020 ERC-ADG project ID 787413):• Led prototyping and evaluation projects with industry partners (e.g. Meta Reality Labs, Sony R&D, Ultraleap).• Prototyped ultrasonic phased arrays, acoustic waveguides and metamaterials for wearable mid-air haptics (COMSOL Acoustics simulation, CAD, 3D printing, electronics, acoustic field measurements, Python, C++).• Authored a computational framework for AI-driven optimisation with geometric modelling, finite elements method, and wave scattering simulation for metamaterials (Python, Fortran90, SALOME, ElmerFEM, HPC).• Generated synthetic datasets and applied deep learning for generative design and optimisation of acoustic metamaterials (scikit-learn, Pytorch).• Supervised a PhD student in Computer Science (CS) and two MSc students in Data Science and Machine Learning.• Delivered seminars in Algorithms and Data Structures to CS undergraduates.

As Postdoctoral Research Associate at the Experimental Music Technology Lab working in ‘Innovating Sema' (UKRI/AHRC project ID AH/V005154/1):• Authored middleware for real-time signal processing and domain-specific language design in browsers.• Led full-stack software development, design, and systems administration for https://sema.codes, a web-based live coding playground for audio and end-to-end machine learning workflows (Tensorflow.js, Web Audio API, C++, WebAssembly, Javascript, CSS, HTML, Svelte, Rollup).• Produced workflows, documentation, and video tutorials and conducted user-based research to refine them.• Organised community-building actions (4 workshops, 2 performances) and mentored a research intern and coordinated graphic design specification and work.

• Development and delivery of lectures, seminars and teaching materials, evaluation and marking.• Personal tutoring, supervision and pastoral care of students, and liaison with student representatives.• Liaised with department head, coordinated teaching assistants, invited lecturers and industry practioners

As a core member of the UKRI-funded project MIMIC (Musically Intelligent Machines Interacting Creatively – Goldsmiths, University of London, University of Sussex, University of Durham and Google Magenta), I designed and investigated the accessibility and communication of machine learning toolkits for communities of practice, including creative computing students, composers, instrument makers and live coding performers:• Authored a new method for browser-based compilation of domain-specific languages for machine learning and digital audio signal processing (won a Best Paper Award, published in the Audio Engineering Society). • Designed and developed web-based EdTech platforms for Creative AI, with integrated development environments (IDE) and interactive design workflows for machine learning, DSL and audio DSP, impacting hundreds of students globally (https://mimicproject.com/, https://sema.codes).• Led software architecture and frontend engineering with modern Web technologies with machine learning integration (Javascript ES6, CSS 3, HTML 5, Svelte, Webpack, Web Audio API, WebAssembly, Emscripten, Tensorflow.js)• Designed the information architecture, user experience and instructional and video tutorial content.• Defined strategic goals and carried out user research (5 workshops, large scale surveys, interviews, ethnography, usability testing, mixed methods analysis). • Developed impact and community-building interventions, including 3 live performances and 6 public speaking events (UKRI at 2020 AAAS Seattle, AI+JS meetup London, Aalborg University Copenhagen, Media Lab Prado Madrid, NTU Trondheim, University of Limerick Ireland).• Lectured the Interactive Music Systems module of the Music Technology degree.

As a Summer course instructor at the CCI/UAL:• Designed and facilitated an intensive hands-on course ("Designing with Data and Interactive Machine Learning") for applying machine learning to real-time sensor data to 25+ students in creative industries -oriented Masters degrees. • Applied design sprints and rapid prototyping with user-friendly machine learning tools (Tensorflow.js, Wekinator and Rapid-Mix API) as constructivist and experiential learning techniques (student satisfaction index: 8.5/10).

As a core member of the EU Horizon 2020-funded project RAPID-MIX, I applied Human-centered and participatory design processes to signal processing and machine learning software and sensor-based hardware products for the creative industries: • Identified client research needs and strategic research goals for a technology transfer and innovation consortium with 3 leading-edge European research centres and 5 music technology start-ups. • Designed a user-centred design methodological toolkit for the consortium and carried out research with stakeholders and end users (co-design workshops, large-scale hackathons, surveys, interviews, ethnography, prototyping, cognitive walkthroughs, discount usability, mixed methods data analysis). • Co-designed and developed a machine learning toolkit (https://rapidmixapi.com/) which accelerated the learning and adoption by non-expert ML developers (C++, emscripten, Javascript, HTML, CSS). • Led systematic data collection, analysis and reporting on research findings, processes, design principles and best practices, for 12 official deliverables to the EU H2020 program officer. • Produced 3 prototypes for data visualisation of millimetre radar signal, machine learning and mobile augmented reality for the Google ATAP Soli Alpha Developers program.

Invited Assistant Professor in the course of Digital Design at Portuguese Catholic University, teaching Interactive Sound Design and data-flow programming with PureData.

Research and development activities within the Interactive and Digital Arts domain, focusing on natural user interfaces (NUI), computer vision (CV), motion capture (MoCap) and augmented reality (AR).

Software architecture and engineering, maintenance and testing of interactive, multimedia, mobile and rich internet applications. Focused on user interface architectures, interaction design, user experience, video processing and playback optimisation, hardware-software integration.• Accelerated the transition of the product from desktop software to a cloud-based software-as-a-service, which contributed to the company’s acquisition by a larger retail software company. • Instituted best practices for architecture and engineering of complex user interfaces and interaction for public screen, web, mobile and augmented reality applications.• Developed single-page and progressive Web applications for network, channel, and content management of digital signage and corporate TV networks (Silverlight, XAML, C#.NET, WCF). • Developed a high-performance desktop multimedia system and plugins (C#.NET, WPF and DirectShow). • Created a gestural-based interactive product catalogue for multimedia kiosks with audience analytics for automatic content segmentation (Kinect, WPF, C#.NET, Intel AIM, DirectShow, OpenCV).

Worked in the Innovation in New Technologies group of Primavera BSS, on the development of the PRIMAVERA Elevation Business Suite, the cloud-based Business Intelligence solution. • Developed a modular software architecture and components for business analytics dashboards with OLAP and data warehousing connectors (Silverlight, C#.NET, SQL Server, Analysis Services, WCF).• Designed and developed the UI architecture, UX and content for Business Intelligence dashboards. • Designed, developed and managed a mobile iOS app for ERP global sales indicators (Objective-C).

Performing live with :papercutz, as a multi-instrumentalist, playing classical guitar, synths, xylo, melodica and backing vocals. Contributed to the production and arrangement of music tracks, live shows, and supported the European tour for debut album "Lylac", released in 2008 on Canadian independent record label Apegenine recordings.

Live visuals production and performance as VJ. Deployment of video installations. Collaborative work with live acts, DJs and cultural venues.

Research in context-aware architectures and conceptual models of context information. Specification, development and testing of a software framework for context-aware applications running in public screens, which integrated hardware such as webcams, sensors, Bluetooth, IrDA, RFID readers and GSM modems.

Developed software applications for object detection based on video and image processing using OpenCV and .NET framework.