Rebecca Fiebrink

Rebecca Fiebrink is the creator of Wekinator, a real-time machine learning tool that has become the most widely used platform for artists exploring creative applications of ML technology. With over 15,000 downloads, Wekinator has fundamentally changed how artists, musicians, and designers approach machine learning, making the technology accessible to those without deep technical backgrounds.

Fiebrink's influence on creative ML extends beyond her signature tool. In 2016, she developed the first MOOC dedicated to creative uses of machine learning on the Kadenze platform, establishing a foundational educational resource for this emerging field. She is currently a Professor at the UAL Creative Computing Institute, where she continues to shape how creative practitioners engage with computational technologies. Her work is grounded in extensive human-computer interaction (HCI) research, contributing substantially to the academic understanding of how artists and creators can effectively work with machine learning systems.

As a speaker, Fiebrink brings a distinctive perspective rooted in actual practice and research rather than theory alone. Her work bridges the gap between computer science and creative practice, offering audiences concrete insights into building tools for non-technical users, the real-world challenges of implementing ML in creative workflows, and how to design technologies that serve artists' actual needs. Those who engage with her work gain access to someone who understands both the technical possibilities and the practical realities of bringing machine learning into creative hands.