I am a postdoctoral researcher at Helmholtz Munich (Eric Schulz's lab) and MPI for Biological Cybernetics (Peter Dayan's lab) in Germany. Before coming to Germany, I completed my Ph.D. in Computer and Communication Sciences at EPFL (Wulfram Gerstner's lab) in 2024 and my B.Sc. in Electrical Engineering at the Sharif University of Technology in 2018.  

My general research interests lie at the intersection of computational neuroscience, cognitive science, and machine learning - but I also have a broad interest in a wide range of topics, from real analysis to causal inference and the philosophy of science. In recent years, I have focused on developing computational models of learning and decision-making in the brain, particularly on (i) mathematical definitions of surprise and novelty, (ii) their contributions to human exploratory and adaptive behavior, and (iii) their manifestation in physiological measurements. I use diverse theoretical frameworks such as Bayesian Statistics, Reinforcement Learning, and Information Theory to design computational models that describe and predict experimental observations, including behavioral choices, EEG, MEG, fMRI, and single-neuron recordings.