Alireza Kazemi
Chief Engineer
Alireza Kazemi’s scientific journey began in engineering in which he earned a B.Sc. in Electronic Engineering, followed by an M.Sc. in Biomedical Engineering, laying his foundations in signal processing, imaging, and bioelectronics. He then transitioned into developmental and cognitive psychology at the University of California, completing an M.A. and Ph.D. During his doctoral work in Professor Simona Ghetti’s lab, he employed eye-tracking, fMRI, and computational modeling to examine how memory and metamemory (i.e. knowledge about one’s own memory) develop, how relational memory is represented in the hippocampus and medial temporal lobe, and how memory guides decision-making in children.
In 2024, after declining an offer to continue his research at Stanford, Alireza joined the INMAN Laboratory at the University of Utah as a Postdoctoral Research Fellow. His ongoing research expanded to include multimodal data collection and analysis—intracranial EEG, eye-tracking, and other physiological signals—applying the study of memory processes to real-life, naturalistic settings. His work provided revolutionary insights into motor vigor prediction in Parkinson’s disease via EEG phase-amplitude coupling, sleep staging, developmental differences in subjective recollection, and novel computational tools for analyzing eye-movement dynamics. Alireza has been recognized with several fellowships and awards, including University of California's Dissertation Enhancement Fellowship.
At his core, Alireza shares the same vision: to build a future where deep neuroscience meets impactful technology. His mission is to uncover the real-time dynamics of human memory in ecologically valid settings, to engineer tools that make these insights accessible outside the lab, and ultimately to help design systems whose intelligence architectures respect and reflect the brain. By binding rigorous academic inquiry with translational potential, he aims to contribute to a world in which mental capacities are not just studied, but supported and enhanced—so that intelligence, human or artificial, evolves in sync with our cognitive humanity.