Dr. Michael Bruyns-Haylett is a Contracted Professor in the Department of Business Management at IQS School of Management, Universitat Ramon Llull. With a PhD in Neuroscience from the University of Sheffield (2013) and a Master's in Computational and Cognitive Neuroscience (2009), he bridges neuroscience expertise with business management education. His research expertise spans neuroscience , electrophysiology (EEG, LFP, ECOG & spiking), and materials engineering , with particular focus on neural excitation-inhibition balance, neurotrauma, and biomaterials applications. His work integrates advanced data analysis techniques using MATLAB and Python to address complex neuroscience questions. Bruyns-Haylett's recent publications reveal a strong interdisciplinary approach, connecting neuroscience with materials science and business applications. His 2024 work on EEG hyperexcitability following traumatic brain injury demonstrates his neuroscience expertise, while his 2023 machine learning research for cellular uptake prediction highlights his computational skills. The 2022 bioinspired transducer paper exemplifies his ability to bridge engineering and healthcare applications. As a researcher in the GEMAT (Materials Engineering Group), he contributes to three main areas: development of new functional materials, surface engineering, and biomaterials. His current projects include 'Uncovering patterns of unconscious reactions to fake content' (2024) and the ongoing GEMAT research initiative (2022-2025). His teaching focuses on integrating scientific and technical knowledge with business management principles, particularly in the Master in Industrial Business Management program where he helps technical graduates develop management careers. His unique background enables him to connect neuroscience research with practical business applications in healthcare technology and materials science industries.









