Funiki
Object-based immersive lighting
I build new technological experiences, embedded in research and informed by a wider societal vision.
A practice grounded in engineering, expanded through research and philosophy.
I turn early ideas into working technological experiences. I take early-stage AI ideas from vague opportunity through research framing, data and model development, interactive prototyping, evaluation and communication. My work is deliberately practical: research questions are explored inside systems that people can use, test and respond to. Across natural language processing and multimodal AI, I have built systems for knowledge representation, document exploration, public discourse analysis, creative writing and text–audio modelling. This includes an AI writing assistant used by professional musicians and Funiki, which extends generative technology into dynamic light-and-sound experiences for physical spaces. I also lead collaborations, communicate complex research and create spaces where technical and human questions can meet. I co-founded an interdisciplinary AI and philosophy community, and contribute technical support and research to discussions about the potential role of AI in education.
Vague intuitions
Observation · Possibility mapping · Initial hypotheses
Articulated concepts embedded in research
Literature review · Concept framing · Research questions
Systematised understanding and requirements
Principles · Requirements · Data, model and evaluation design
Concrete implementations
Prototyping · Integration · Testing and iteration
The technical and research methods I use to make ideas concrete.
Representing, generating and retrieving meaning
Learning across representations and media
Turning uncertain ideas into testable directions
Building interactive research systems
Structuring, searching and connecting data
Making experiments reproducible and systems deployable
Projects that move between artificial intelligence, creative practice and collective inquiry.
Object-based immersive lighting
Research-creation driven installation
Paris-based community on AI & Philosophy
Pre-ChatGPT masked writing assistant
Research and volunteering on AI & Education
Previous projects, collaborations, research threads, wider practice.
Led the text work for an internal Music Team collaboration with data engineer Amaury Delort, exploring multimodal deep learning across language and audio, including NLP pipelines, language modelling, MongoDB and a Dash interface for querying and curating datasets.
A research platform for navigating complex information through semantic representations, retrieval pipelines, data processing and visual interfaces.
Computational-linguistics research examining public discourse across languages and national contexts during the first wave of the pandemic.
First prototype of an online platform, PENELOPE, for composing OpenAPI-described services into analysis pipelines to facilitate the development of distributed components across several institutions. Created for the European Union project ODYCCEUS.
Selected publications across music AI, natural language processing, knowledge representation and data analysis.
The through-line is an interest in how complex representations become useful, navigable experiences.
Full profile on ScholarA place to think in public through essays and creative outputs. Some pieces become speculative targets for research—making ideas concrete enough to question, test and develop.
Open the writing siteExploring future societal roles of AI
Part II — Aw-ful
Part I — Awe-some
Part II — The Signal in the Machine
Part I — Poiesis Studio