Irina Hallinan is a Research Analytics Scientist on the Data, Analytics, and Research Computing (DARC) team. She supports faculty research through computational consultation. Her expertise includes reproducible workflows, scalable research computing, and machine learning for data-intensive research.

Prior to joining Stanford GSB, Irina worked at UCSF, where she supported neuroscience research by developing tools for brain-computer interface systems, and at NASA Ames Research Center, where she built systems for complex scientific data. Irina holds a BS in computer science from Rice University and an MEng in electrical engineering and computer sciences from UC Berkeley.