Multimodal Stabilization of Head-Direction Representations
Developing continuous attractor models that fuse visual, vestibular, and proprioceptive signals to preserve stable head-direction coding under noisy and changing sensory conditions.
I am a PhD Candidate in the Max Planck School of Cognition, working at the intersection of neuroscience, mathematics, and artificial intelligence to study the neural basis of consciousness. My doctoral research combines methods from complexity science, information theory, and computational modeling under cross-disciplinary supervision by Prof. Emeritus Jurgen Jost, Dr Andrej Bicanski, and Prof. Lucia Melloni.
Ongoing research projects. Completed work is listed under Publications.
Developing continuous attractor models that fuse visual, vestibular, and proprioceptive signals to preserve stable head-direction coding under noisy and changing sensory conditions.
Conducting a structured methodological review of complexity metrics used in consciousness science, with emphasis on assumptions, robustness, and reproducibility across experimental paradigms.
Selected research and industry roles. See CV for full details.
I’m open to collaboration and talks. For the quickest response, email me; otherwise, connect on LinkedIn.