Summary
Ida Momennejad is a principal researcher at Microsoft Research NYC who translates 15 years of cognitive neuroscience and neuroAI expertise into building and evaluating human-inspired AI systems. She combines deep domain knowledge of hippocampal and prefrontal mechanisms of memory and planning with hands-on work on generative LLM evaluation, multi-agent GPT-4 architectures, image-to-policy diffusion for game agents, and model-based deep RL. Her work bridges lab and product: publishing rigorous neuroscience studies and deploying human-like agents for Xbox and multi-agent problem solving, while also developing neuro-inspired methods to probe model representations. Trained from a CS undergraduate through a PhD in cognitive neuroscience and postdoc at Princeton, she uniquely blends computational modeling, fMRI/electrophysiology validation, and machine learning implementation. Beyond research, she co-founded the Learning Salon and mentors marginalized trainees, and serves on panels for major funders and journals. An uncommon strength is her sustained track record of turning neural theories of memory and planning into practical architectures and evaluations that directly inform state-of-the-art AI.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS History and Philosophy of Science , Master of Science - MS History and Philosophy of Science at Utrecht University
Doctor of Philosophy - PhD Cognitive Neuroscience / Psychology, Doctor of Philosophy - PhD Cognitive Neuroscience / Psychology at Humboldt-Universität zu Berlin
Postdoctoral Research, Postdoctoral Research at Princeton University
English, Persian, German, French