About The Brainet Team
When great minds come together working in a field they love great achievements are made. Let us introduce ourselves...
Andrea Soddu CEO
Professor in Physics & Astronomy at Western University, London ON, Canada and he is a Core Member of Western’s Brain and Mind Institute.
Given his atypical ‘multidisciplinary’ career, Andrea’s early papers are in the field of particle physics and, since his post-doctoral stay at the Weizmann Institute in the field of neuroscience. This interdisciplinarity has resulted in very successful projects and collaborations and in developing didactic and leadership qualities.
His main expertise is in the field of neuroimaging focusing on resting state fMRI to develop diagnostic tools for severe brain injured patients with disorders of consciousness. More recently his research is focusing on tinnitus, concussion and chronic pain.
Contact Andrea SodduJorge Rudas CTO
Jorge Rudas is a computer scientist with a PhD in Biotechnology. He is passionate about medical challenges that require novel technologies to solve them. He has a strong background in leading research and production teams in the fields of software engineering, data science, and machine learning.
During the last five years, Jorge has been focused on building novel computer algorithms to characterize brain dynamics in pathological conditions. More recently, Jorge's interests have shifted towards innovating in the use of medical research technologies for real clinical applications.
Dilanjan Diyabalanage AI research associate
Dilanjan Diyabalanage is a PhD candidate at the University of Western Ontario, specializing in the application of artificial intelligence and machine learning to neuroimaging. His research focuses on developing innovative computational models, such as physics-informed neural networks, to analyze and interpret complex neuroimaging data. By combining deep learning with physics-based methodologies, Dilanjan aims to uncover novel insights into brain function and refine approaches to neuroimaging analysis.
With a background in physics and machine learning, Dilanjan has contributed to projects ranging from EEG data analysis using quantum-inspired models to cutting-edge methods that enhance the precision and usability of neuroimaging tools. His work bridges the gap between theoretical physics and practical applications in neuroscience, positioning him at the forefront of AI-driven neuroimaging innovation.
