Pioneering Multidimensional Neuromechanistic Insights
I am an interdisciplinary neuroscientist working at the interface of neurology, psychiatry , and neurotechnology focusing on neuroimaging, movement neuroscience, and neuromodulation. Aim is to uncover and modulate the neuromechanistic basis of brain–body and self-awareness dysfunctions. My doctoral (Suma cum Laude) research at Philipps University of Marburg has centred on schizophrenia spectrum disorders (SSD), where I developed and applied movement-phase–specific fMRI data analyses using advanced BOLD response modelling with its derivatives (temporal and dispersion). This led to the discovery of a novel movement phase specific three dimensional characteristics of neural responses in SSD, including amplitude, timing, and duration. By designing and implementing innovative paradigms, such as sequentially repeatable hand movement experiments, I bridge the gap between behavioural observations and neural mechanisms, leveraging tools like MATLAB, SPM, FSL, R, and Python to transform raw data into actionable insights. These works have led to multiple first-author publications and established a foundation for understanding how disrupted temporal dynamics shape altered perception–action coupling (movement control, sense of agency) in neuropsychiatric conditions.

Bridging Neural Response Modulation and Motor-Cognitive Control
At the Leibniz Institute for Working Environment and Human Factors (IfADo), I expanded my expertise to human neurophysiology, employing cutting-edge techniques like TMS, tDCS, and pharmacological interventions (e.g., caffeine) to probe neuroplasticity and cognitive performance. Recording TMS-induced motor evoked potentials (MEPs) and designing experiments with tasks like the Serial Reaction Time Task (SRTT) and Stroop test allowed me to explore how non-invasive brain stimulation and psychoactive substances modulate implicit learning, working memory, and attention. These experiences align with my my long-term mission to identify and modulate dysfunctional brain–body dynamics across neurological and neuropsychiatric disorders. Looking forward, I aim to integrate wearable technologies, kinematic analysis, and multimodal neuroimaging (fMRI, MRS, PET, DTI, EEG, EMG) to capture neuromechanistic dysfunctions, and to develop targeted neuromodulatory interventions (e.g., TMS, TPS, TUS, tDCS, and tACS) that can restore network-level synchronisation across cortical and subcortical systems. Central to this vision is building and leading multidisciplinary collaborations across neurology, psychiatry, and neurotechnology, with the goal of transforming movement and neuromodulation into precise, scalable interventions for stabilising brain-body function and the experiences of action control across disorders.