Robin Ince

I work at the interface of research and product: statistical methods, machine learning, and production data pipelines for novel, high-dimensional signals.

My recent industry experience has been in early-stage deep-tech startups. Currently, I am a Staff Data Scientist at Apoha, where we characterise the properties of molecules and materials through their dynamic behaviour, using a novel biophysical sensing platform to accelerate R&D in drug discovery, food and consumer goods.

Previously, I was a Staff ML & Neural Scientist at Atlas, developing signal processing and machine learning for a consumer multi-modal brain sensing wearable, and a Senior Data Scientist at Fab AI, benchmarking large vision and language models for education.

Before this, I was a Senior Research Scientist (Research Associate Professor) in the School of Psychology and Neuroscience at the University of Glasgow, where I hold an honorary affiliation. My PhD is in Computational Neuroscience, and my research applied statistics, information theory and machine learning to complex data from electrophysiology, neuroimaging (EEG, MEG, fMRI) and behavioural experiments.