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Ida Momennejad



Senior Reinforcement Learning researcher @ Microsoft Research NYC.



She studies how models of the world are built and use them in memory, exploration, & planning.

She builds and tests neurally plausible algorithms for learning the structure of the environment. Her approach combines reinforcement learning, neural networks, & machine learning with behavioral experiments, fMRI, & electrophysiology.

Her training is in cognitive computational neuroscience. Previously she worked at Columbia University, Electrophysiology, Memory, and Navigation Lab, and did a postdoc at Princeton (where I collaborated with Ken Norman, Matt Botvinick, Jon Cohen, Nathaniel Daw). She holds a PhD in psychology (Berlin, Germany, Bernstein Center for Computational Neuroscience), a BSc in software engineering (Tehran, Iran), & MSc in Philosophy of Science (Utrecht, Netherlands).

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