Summary
Dobromir Rahnev is an Associate Professor at Georgia Tech with 11 years of experience investigating perceptual decision making and visual metacognition using fMRI, TMS, psychophysics, computational modeling, and recently convolutional neural networks. He bridges basic cognitive neuroscience and computational approaches to probe how the brain generates and evaluates perceptual decisions, often combining causal brain stimulation with advanced modeling. Trained at Harvard (BA) and Columbia (PhD), and shaped by postdoctoral work at UC Berkeley, he runs a lab that integrates human neuroimaging experiments with machine learning models to test mechanistic hypotheses. Based in Atlanta, he is known for translating sophisticated methods into tractable experiments and for applying CNNs not just as tools but as normative models to illuminate human metacognition.
11 years of coding experience
9 years of employment as a software developer
BA, Psychology, BA, Psychology at Harvard University
Mathematics High School, Plovdiv, Bulgaria
PhD, Cognitive Neuroscience, PhD, Cognitive Neuroscience at Columbia University
English, Spanish, Bulgarian