As a Master's student in Artificial Intelligence, my passion lies in solving complex challenges at
the intersection of computational neuroscience and biomedical applications. I specialize in
designing, implementing, and critically evaluating deep learning frameworks that are not only
accurate but also robust, interpretable, and scientifically valid.
My research is focused on moving beyond standard classification to build more nuanced and
reliable diagnostic tools.