My work focuses on bridging clinical practice and scientific research by advancing evidence-based, patient-centered care through innovative, interdisciplinary methods. I specialize in developing and evaluating interventions for behavioral addictions, particularly gaming disorder, by integrating cognitive science, neuroscience, and modern technology.

Ultimately, my goal is to translate neuroscience into practical tools that improve clinical outcomes, making mental health interventions more precise, accessible, and effective.

My research expertise lies at the intersection of quantitative methods, clinical neuroscience, and digital mental health. I have extensive experience designing and implementing randomized controlled trials (RCTs), with a focus on evaluating treatment outcomes for behavioral addictions, particularly gaming disorder. My work integrates neurocognitive approaches, using tools such as electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and machine learning to identify neural and cognitive biomarkers associated with high-level cognitive functions including memory, executive functioning, and decision-making. By applying advanced statistical techniques and deep learning algorithms, I aim to uncover predictive patterns that can inform targeted, evidence-based interventions. 

• Behavioral addiction;
• Translational neuroscience;
• Deep learning;
• Memory and decision-making;
• Brain pattern scanning with fMRI & EEG.

For research collaboration or media inquiries, please contact:
[email protected]