I’m a machine learning engineer and artist focusing on creative uses of AI agents and computer vision. I’ve also prototyped deep learning tools for leading art museums, including the Tate, at the UAL Creative Computing Institute.

I mainly use Python and deep learning libraries, however my skills include JS/HTML5/CSS, Node.js and WegGL. I also organise events as part of the creative coding collective In-grid.

I have an extensive background in feature journalism and creative writing. My computational practice is part of the same continuum. I engage in research, speculative design and data mining to explore possible futures and our relationship to technology.