About
Dr. Federico Raimondo is a post-doctoral researcher at the Institute of Neuroscience and Medicine (INM-7), Research Center Jülich, Germany. His work focuses on developing trustworthy AI algorithms to address clinical challenges in neurosciences, particularly in understanding consciousness and cognition. He holds a PhD in Computer Science (University of Buenos Aires) and Cognitive Neurosciences (Sorbonne University), followed by a postdoc at the University of Liège, Belgium.
Education:
- Bachelor’s/Master’s in Computer Science, University of Buenos Aires
- PhD in Computer Science (joint program with Sorbonne University’s Cognitive Neurosciences)
Research Interests: Machine Learning, Clinical AI Transparency, EEG/MEG Signal Processing, Disorders of Consciousness, and Neuroimaging Analytics. He develops tools like NICE-EEG Cleaner and contributes to libraries such as Julearn and JuHarmonize to ensure reproducible and bias-free AI models.
Labs/Teams: Applied Machine Learning Group at INM-7, collaborating on projects like the CONNECT-ME Study for ICU patient prognosis.
