Summary
Amin Kangavari is a postdoctoral researcher and computational cognitive modeler with a decade of experience applying hierarchical Bayesian methods to reinforcement learning, decision-making, and cognitive control. Based at the Danish Research Centre for Magnetic Resonance, he combines fMRI, EEG, and behavioral paradigms to probe pharmacological effects and medication-state dynamics in Parkinson’s disease. His PhD work integrated single-trial joint models linking brain signals and behavior, leveraging simulation-based and deep learning techniques to estimate latent cognitive parameters. Comfortable bridging theory and experimental practice, he has secured funding, led multidisciplinary analyses, and translated complex models into interpretable insights about impulsivity and reward processing.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Institute for Cognitive and Brain Science, Doctor of Philosophy - PhD, Institute for Cognitive and Brain Science at Shahid Beheshti University
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Damghan University of Basic Sciences
Persian, Danish, English