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Hi!

My name is Nastasia and I study how a person’s cognitive state changes over time (as a function of things like effort, fatigue, and task switching), and how those changes show up in behavior and in the brain. I’m a fourth-year PhD candidate in Stanford Psychology (Cognitive Neuroscience), advised by Russ Poldrack in the Poldrack Lab, and a Mind, Brain, Computation and Technology Fellow. I design experiments, build computational models of the results, and analyze fMRI data. I’m also running a series of studies on how well people can control their own learning when they use AI. Going forward, I’m excited to bring this work to brain-computer interfaces, helping build systems that can detect changes in cognitive states like fatigue and adapt to them.


Previously, I received a B.S.E. degree in Computer Science from Princeton University, with certificates in Cognitive Science and Linguistics. I worked in the Niv Lab as a lab manager and research assistant. I also spent two summers interning at Meta (first on a Facebook team then at FAIR labs).


Outside of the lab, I care about education and mental health. I also speak Russian fluently, and I like to read, write short stories, and run (slowly)!

Recent highlights

  • CCN 2026 spotlight: my first-author extended abstract, "Self-paced rest decisions: stable but ineffective for recovery."
  • First-author paper in prep: "Task-Switching Resets Latent Performance States During Cognitive Effort," with Joshua Buckholtz and Russ Poldrack, building on my CCN 2025 and 2026 work.
  • Head TA, Psych 10/Stats 60: I lead a 13-person teaching team for a 150-student intro statistics course (Fall 2026).