Yacine Mahdid
About Yacine Mahdid
Yacine Mahdid serves as the Chief Technology Officer at the Biosignal Interaction and Personhood Technology Lab, where he focuses on developing technologies for non-communicative individuals. He holds a PhD in Neuroscience from McGill University and has experience in various research and development roles, including creating platforms like Biomusic and EEGapp.
Work at Axya
Yacine Mahdid serves as the Chief Technology Officer and co-founder of Axya. In this role, he is involved in various aspects of the company's operations, including writing success stories for Axya's blog and contributing to release notes and updates for the platform. His work focuses on leveraging technology to address labor shortages in manufacturing, reflecting his commitment to solving real-world problems efficiently.
Education and Expertise
Yacine Mahdid has a strong educational background in neuroscience and computational neuroscience. He earned a Bachelor of Science in Computational Neuroscience from McGill University from 2014 to 2017, followed by a Master of Science in Neuroscience from 2018 to 2020. He further pursued a Doctor of Philosophy in Neuroscience at McGill University from 2019 to 2022. His academic journey has equipped him with expertise in machine learning and brain-computer interfaces.
Background
Yacine Mahdid has been a PhD candidate at McGill University since 2017, focusing on research related to consciousness detection in individuals who are unable to communicate. His previous roles include working as a researcher at The Montreal Neurological Institute and the McGill University School of Physical & Occupational Therapy. He has also held positions at EGC Labs and Shopify, where he contributed to EEG research.
Achievements
Yacine Mahdid has developed several innovative applications, including Biomusic, an Android platform that enables non-communicative individuals to express themselves through physiological signals. He also created EEGapp, an automated pipeline for electroencephalographic data analysis, and BCIapp, a brain-computer interface compatible with transcranial direct-current stimulation. His research contributions focus on creating predictive models for detecting consciousness.
Research Interests
Yacine Mahdid's research interests center around the intersection of technology and neuroscience. He is particularly focused on developing predictive and diagnostic models for individuals with communication challenges. His work aims to utilize machine learning techniques to address complex issues in healthcare and technology, demonstrating a commitment to advancing the field of neuroscience.