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vaibrainium/README.md

Hi there I'm Vaibhav Thakur

PhD Candidate in Computational Neuroscience · University of Washington, Seattle

I build probabilistic models and ML systems for understanding how the brain makes decisions. My work sits at the intersection of experimental neuroscience, Bayesian inference, and production software engineering.

Currently finishing my dissertation on decision-making, with methods spanning drift diffusion modeling, dimensionality reduction, and large-scale neural data analysis. On the engineering side, I built NeuRPi — a distributed, real-time closed-loop experiment control system used in active neuroscience research.

I'm looking for ML Scientist and Research Scientist roles in AI, health tech, and neurotech/BCI.

  • 🌍 Based in Seattle, WA
  • ✉️ vaibhavt459@gmail.com
  • 🔬 Dissertation: probabilistic modeling of decision-making under uncertainty
  • 🛠️ Building: NeuRPi — distributed system for closed-loop neuroscience experiments
  • 🤝 Open to collaborating on ML, neuroscience, and BCI projects

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  1. NeuRPi NeuRPi Public

    (Neu)roscience on (R)aspberry (Pi) Network

    Python

  2. LLM-powered-Cognitive-Data-Monitoring LLM-powered-Cognitive-Data-Monitoring Public

    Python

  3. Cortexa Cortexa Public

    Python

  4. Erdos-Projects/spring-2026-real-time-sleep-stage-estimation Erdos-Projects/spring-2026-real-time-sleep-stage-estimation Public

    Team project: spring-2026-real-time-sleep-stage-estimation

    Jupyter Notebook 2

  5. prior-encoding-in-nhp-sc prior-encoding-in-nhp-sc Public

    Jupyter Notebook 1

  6. End-to-End-Chest-Cancer-Detection-using-MLflow-DVC End-to-End-Chest-Cancer-Detection-using-MLflow-DVC Public

    Jupyter Notebook