I am a cognitive neuroscientist and academic with over two decades of international experience in research, teaching, and laboratory leadership. I am is currently a Senior Lecturer in the School of Applied Psychology at University College Cork, teaching cognitive psychology, cognitive neuroscience, research methods, and statistics, while leading EEG research focused on autism spectrum disorder, ageing, aphantasia, and fall risk.

I completed my PhD in Experimental Psychology at the University of Oxford, following a Bachelor of Arts in Psychology from California State University, Los Angeles. Since my doctorate, he has worked with leading scientists across Europe, developing internationally recognised expertise in multisensory perception, predictive coding, and neuroimaging. My methodological skillset spans EEG, MEG, fMRI, eye-tracking, and advanced data analysis using tools such as MATLAB, AFNI, FieldTrip, and SPSS

Prior to joining University College Cork, I held senior postdoctoral and postdoctoral research positions at Trinity College Dublin and Goethe Universität Frankfurt. During this period, I developed novel behavioural and neuroimaging paradigms, discovered key mechanisms underlying multisensory integration, and contributed foundational findings on temporal binding, synesthesia, and sensory processing in both healthy and clinical populations. I also played a central role in establishing and managing successful research laboratories, including responsibility for equipment development, staff recruitment, and project governance.

I have secured competitive funding from major national and European agencies, including EU Horizon 2020, the Health Research Board, and Enterprise Ireland. I have published widely in high-impact journals and serves as an experienced peer reviewer and ethics committee member. 

My research interests centre on understanding how the brain integrates information from multiple senses to construct coherent perception and behaviour across the lifespan, and how these processes are altered in neurodevelopmental and ageing-related conditions. Trained as a cognitive neuroscientist, I have long been fascinated by how sensory signals interact over time and space, and how prior knowledge and prediction shape perception.

A major theme of my work is multisensory integration, particularly audiovisual, visuotactile, and visuo-haptic processing. I have developed behavioural, EEG, MEG, and fMRI paradigms to investigate how the brain binds information across modalities, with a specific focus on temporal binding windows and predictive coding. My research has shown that these mechanisms are not static, but change with age and clinical status, with older adults and individuals with mild cognitive impairment or autism spectrum disorder often exhibiting altered reliance on perceptual priors and differences in early sensory integration.

Another core interest lies in clinical and applied neuroscience. I conduct EEG and eye-tracking research with autistic individuals, older adults, fall-prone populations, and people with atypical imagery experiences such as aphantasia. Through this work, I aim to identify neurocognitive markers that can inform intervention, training, and improved quality of life. I am particularly interested in how training and environmental manipulation can enhance multisensory perception and compensatory mechanisms in vulnerable groups.

Methodologically, I am strongly driven by combining rigorous experimental design with advanced neuroimaging and data analysis techniques. I enjoy building novel apparatuses, developing new paradigms, and integrating computational and statistical approaches to answer complex questions about brain function. I also have a sustained interest in research ethics, reproducibility, and the translation of laboratory findings into real-world contexts.

Overall, my research is motivated by a desire to bridge basic and applied neuroscience, advancing theoretical models of perception while producing findings that are meaningful for education, clinical practice, and healthy ageing.