Nadja Daffron

Researcher at the intersection of AI, neurotechnology, and governance.

About

I’m an open-source developer and researcher building systems at the intersection of neuro-AI interfaces, cryptographic agent security, and intelligence automation.

Currently pursuing graduate studies at NC State (NDS), my work spans from technical implementation of brain-computer interface systems to policy analysis of neurotechnology governance. I focus on bridging the gap between cutting-edge research and practical, deployable systems.

PythonPyTorchTypeScriptBrainFlowCryptographyEEG/BCILLMsPolicy Analysis

Research

Cognitive Sovereignty: Why Neural Data Demands a New Governance Category

A policy analysis arguing that neural data constitutes a fundamentally new category requiring dedicated governance frameworks beyond existing data protection regimes.

PolicyNeurotechGovernance

The Human in the Loop Is No Longer a Fixed Variable: Neural Interfaces and the Governance Gap in Military AI

Examines how brain-computer interfaces destabilize the assumptions underlying current military AI governance and human-in-the-loop doctrine.

PolicyNeurotechDefense

Co-Regulatory Cognitive-Intent Actors: A PyTorch Simulation of Feedback-Guided Intentionality in Human–Machine Systems

A technical paper presenting a PyTorch-based simulation framework for modeling feedback loops between human cognitive intent and machine decision-making.

MLPyTorchNeurotech

Projects

NeuroTutor

Real-time EEG-driven adaptive LLM tutoring system that adjusts content delivery based on measured cognitive states and attention patterns.

PythonBrainFlowasyncioLLM

SecureAgent

FIPS 140-2 compliant cryptographic module for AI agent frameworks, providing secure key management and authenticated communication channels.

PythonCryptographyFIPS 140-2

Contact

Interested in collaborating on neurotech, AI governance, or open-source research tools? Reach out.

nadjadaffron@gmail.com github.com/nadjabynadja