Supervision
I am passionate about mentoring the next generation of researchers and welcome highly motivated students who wish to engage in projects aligned with my areas of expertise. My supervision approach is collaborative, with a strong emphasis on scientific rigor, critical thinking, and personal development. I strive to create a supportive environment where students can grow as independent scientists. My core expertise includes electrophysiological recordings (EEG, fNIRS, sEEG, LFP, and Neuropixels recordings), spike sorting, neural signal processing, and brain-machine interfaces. Related fields I am experienced in include clinical neurophysiology, systems neuroscience, cognitive neurotechnology, signal analysis, and brain-computer interfacing.

PhDs
I am not (yet) a full professor or a faculty member, but I actively serve as a co-promoter, advisor, or external supervisor on doctoral projects. At this stage, I can only accept PhD students who are officially enrolled with a main supervisor at their host institution. My involvement includes providing expertise, mentoring, and collaboration within the project framework.
Currently, I only accept PhD projects in the following areas:
- Disorders of Consciousness, including coma, unresponsive wakefulness syndrome, and minimally conscious state.
- Altered States of Consciousness, namely anesthesia studies, using electrophysiological recordings.
- Neurofeedback and Brain-Computer Interfaces (BCI) for neurorehabilitation.
For PhD students, we will follow a structured supervision plan:
- Initial proposal: Applicants must submit a 2-page research idea draft (similar to a Thesis Submission Proposal – TSP) as a first step.
- Kick-off meeting: An in-depth discussion to refine goals and define the project scope.
- Regular supervision: Bi-weekly (every two weeks) meetings to track progress, troubleshoot issues, and guide development.
- Milestone reviews: Formal project updates every 6 months.
The maximum number of PhD students I supervise simultaneously is 1 to ensure high-quality mentoring.
Master’s Students
I am more flexible with Master’s students and welcome applications on a broader range of topics. Besides my core areas (altered states of consciousness, disorders of consciousness, anesthesia, neurofeedback, BCI, neurorehabilitation), I also encourage projects exploring:
- Psychology and cognitive neuroscience applications
- Computational sociology and social simulation, including multi-agent modeling and cognitive architectures.
I require Master’s students to commit a minimum of 20 hours per week for a continuous period of 6 months. I fully understand the academic pressures students face, but this time commitment is essential for producing meaningful and successful research outcomes.
Master’s students are strongly encouraged to aim for publication-level quality, ideally drafting a manuscript for submission to a scientific journal. Engaging in the full research cycle—from hypothesis formulation and data collection to analysis and dissemination—greatly enhances both learning and career development. It can also provide valuable experience for future PhD or industry opportunities.
Students are encouraged to:
- Bring their own research ideas (which we can refine together),
- Propose rough project concepts for development, or
- Select a topic from my project list, which I maintain and update regularly.
I accept a maximum of 2 Master’s students per year to ensure dedicated attention and mentoring.
Supervision for Master’s projects involves:
- Initial planning meeting to define project aims and methods
- Weekly or bi-weekly meetings depending on project phase
- Continuous feedback on analysis, writing, and presentation
