My research group brings together researchers from engineering, neuroscience, data science, and applied mathematics to study and engineer complex brain systems. The group values methodological rigor, openness, and collaboration, with a strong emphasis on research that can translate from theory to real-world clinical and digital health impact. Team members are encouraged to develop independence while working within a supportive and intellectually diverse environment.
Current Supervision
I currently supervise researchers across multiple career stages, including postdoctoral fellows, PhD candidates, and Master’s students. The group includes individuals with backgrounds in engineering, neuroscience, physics, mathematics, and computer science, reflecting the interdisciplinary nature of the research.
Supervision is structured to balance technical depth with broader research development, including scientific writing, reproducible research practices, and engagement with clinical and industry collaborators.
Alumni and Past Supervision
Over the course of my career, I have supervised and co-supervised a substantial number of postgraduate researchers, including postdoctoral fellows, PhD students, and Master’s students. Many former group members have gone on to academic, clinical, and industry roles in neuroscience, biomedical engineering, data science, and technology.
This continuity reflects a long-term commitment to mentoring and researcher development alongside research outcomes.
Research Opportunities
PhD Opportunities
I am interested in supervising PhD projects aligned with the following areas:
• Seizure prediction and forecasting using long-term EEG data
• Data-driven and model-based approaches to epilepsy and anaesthesia
• Neural system estimation, observability, and control
• Brain network analysis and mechanisms of consciousness
• Translational neuroengineering and digital health systems
PhD projects typically combine theoretical development with large-scale data analysis and are often embedded within broader collaborative research programs.
Postdoctoral Opportunities
Postdoctoral positions, when available, focus on advancing existing research programs and leading new methodological or translational directions. Postdoctoral researchers are encouraged to develop independent research profiles, contribute to grant writing, and engage in supervision and mentoring of junior researchers.
Potential postdoctoral candidates should have a strong publication record and experience in at least one of the following areas: signal processing, machine learning, computational neuroscience, control theory, or biomedical data analysis.
Honours and Master’s Projects
Honours and Master’s projects are available for students seeking research experience in data-driven neuroscience and neural engineering. These projects are typically well-defined and provide opportunities to work with real clinical datasets, modern analysis pipelines, and open research platforms.
Such projects are well suited for students considering further postgraduate research.
How to Get in Touch
Prospective students and researchers who are interested in working with me are welcome to make contact by email. When enquiring, please include:
• A brief description of your background and research interests
• A short CV
• An indication of which research themes are most relevant to you
While I am happy to discuss ideas, strong applications typically demonstrate a clear alignment with the research themes described on this site.
Collaborative Opportunities
I am open to collaboration with academic, clinical, and industry partners interested in epilepsy, anaesthesia, neural systems, and digital health. Collaborative projects often involve shared datasets, co-supervision arrangements, and joint grant applications.
Enquiries regarding collaboration are welcome and should outline the proposed scope and objectives of the collaboration.