Tianzheng Hu

I completed my Master’s degree in Big Data Engineering at the University of Amsterdam and Vrije University Amsterdam. During my master thesis, I developed a novel graph- and information-theory–based interpretable model for schizophrenia diagnosis, which sparked my deep interest in computational neuroscience. This work was awarded the 2024-2025 Master’s Thesis Award of Vrije University Amsterdam.
I joined the AIMS Lab in 2025, where my research focuses on building interpretable brain-ageing AI systems capable of identifying early biomarkers of neurodegenerative disorders. Ultimately, I hope to help bridge large-scale brain data, transparent machine learning, and precision healthcare, which pushing toward AI tools that clinicians can trust and patients can meaningfully benefit from.