Supporting faculty. Neuroscience PhD who now builds production machine learning for implantable brain devices.
Rei is a data scientist and neural engineer with a PhD in neuroscience from the University of Melbourne, completed at The Florey, where he combined brain imaging and machine learning to study how the brain makes decisions — and mentored undergraduates through the same work.
He is a neural engineer at Ruten, an early-stage neurotechnology company building implantable brain devices for neurological conditions. He leads algorithm research and development across invasive and non-invasive sensor data, takes machine learning models into operational use, and owns the evaluation frameworks around them. A large part of the role is enabling other researchers: designing the data standards, cloud pipelines and tooling across AWS and GCP that let scientific teams spend their time interpreting data rather than processing it.
Before Ruten he was a data scientist at Curtin University, working across the full software lifecycle on production platforms for student engagement and AI-assisted learning used by several universities — scoping requirements with stakeholders, then automated testing, code review, deployment and the cloud infrastructure underneath. He has taught this material before, as an assistant trainer on a Graduate Certificate in Data Science and AI covering Python, statistics, machine learning, deep learning and NLP.
Perth-based, working with a Tokyo neurotechnology team. He is particularly interested in problems where individual-level data leads to better and more targeted decisions, in neurological disorders and in mental health.
Eight live weeks of Python, working with data, and how machine learning actually works — taught from scratch, no prior coding.
Education analytics, applied machine learning, and data science for mental health — research rigour applied to real-world problems.
His next Beginner AI Foundations cohort opens 7 July 2026. Apply, or book a call to check it's your right first step.