Summary
Farzaneh Najafi is an assistant professor and systems neuroscientist with over a decade of experience probing neural circuit mechanisms that drive perception, learning, and behavior. Trained at the University of Pennsylvania and shaped by postdoctoral work at Cold Spring Harbor and the Allen Institute, she combines two-photon in vivo imaging, optical physiology, and population recording with Python/Matlab-based computational analysis and machine learning. Her research spans cerebellar prediction in motor learning to neural circuit dynamics underlying decision-making, and she aims to translate mechanistic insights into therapeutic strategies for neurological disorders. Equally comfortable leading independent projects and collaborating across labs, she brings hands-on cellular and molecular expertise (flow cytometry, immunocytochemistry, RT‑PCR) to bridge scales from molecules to systems. Based in Atlanta, her work is distinguished by pairing rigorous experimental design with advanced computational models to reveal trial-by-trial neural adaptations that are often overlooked in population-level studies.
10 years of coding experience
6 years of employment as a software developer
Exchange Scholar, Visiting Student Research Collaborator, Neuroscience, Exchange Scholar, Visiting Student Research Collaborator, Neuroscience at Princeton University
MS, Biotechnology, MS, Biotechnology at University of Tehran
PhD, Biology Department, Track of Neurobiology, Behavior, and Physiology, PhD, Biology Department, Track of Neurobiology, Behavior, and Physiology at University of Pennsylvania
Persian, English