Reza Abbasi-Asl is associate professor of neurology, bioengineering and therapeutic sciences at the University of California, San Francisco. His lab investigates the role of interpretable machine learning in understanding brain functions and related disorders. He has led multiple studies on artificial intelligence for neuroanatomy and health technology, including the creation of one of the most detailed maps of the mouse brain using transformer-based models, published in 2025.
He earned his Ph.D. and M.Sc. in electrical engineering and computer sciences at the University of California, Berkeley in 2018. He also holds an M.Sc. in biomedical engineering from Sharif University of Technology (2013) and a B.Sc. in electrical engineering from Amirkabir University of Technology (2010). Prior to joining the University of California, San Francisco, he was a scientist at the Allen Institute for Brain Science.
