Vanessa Diaz

I’m a Neuroscience graduate, BCI developer, and AI software engineer who builds practical NeuroAI systems that bridge behavioral science and production-grade machine learning. I design end-to-end BCI solutions — from EEG signal acquisition and real-time preprocessing to edge inference and cloud orchestration — using Python, TensorFlow, embedded devices, and modern cloud platforms. My focus is on emotion-aware interfaces, neurofeedback, and cognitive-enhancement applications that are scientifically grounded, low-latency, and user-centered. As a NeuroAI entrepreneur, I combine rigorous research, thoughtful UX, and scalable engineering to deliver ethical, high-impact neurotechnologies that improve therapy, interaction, and human potential.

Featured Projects

🎵 NeuroTune

A real-time neurofeedback app that adjusts music based on EEG data to reduce anxiety and enhance focus. Built with OpenBCI, Python, and TensorFlow.

🗣️ Synaptech

An AI-powered CBT assistant that detects emotional tone from speech and offers tailored behavioral prompts. Built using Hugging Face, PyTorch, and NLP pipelines.

📊 CortexTrader

A neuroadaptive reinforcement learning trading bot that integrates market trends with cognitive state indicators from EEG. TensorFlow + Gym + RLlib.

📈 NeuroStream

An interactive EEG dashboard for real-time cognitive monitoring and visualization. Powered by WebSockets, TensorFlow.js, and React.

🦾 Cognisync

A hybrid BCI control system combining P300 and Motor Imagery for smart-home applications. Built with Scikit-learn, OpenBCI, and Lab Streaming Layer.

🧬 NeuroFit AI

AI-generated fitness and brain-training protocols personalized by neuroplasticity markers. Integrated with wearables and TensorFlow Lite.

🧠 Real-Time BCI

Developed a cloud-based Brain-Computer Interface (BCI) platform enabling users to communicate and control smart devices using neural signals. Integrated deep learning models for real-time EEG signal decoding and seamless IoT connectivity.

🛡️ AI-NeuroGuard

Engineered an AI-driven system that analyzes brainwave data to detect early signs of cognitive decline. Utilized advanced machine learning and cloud analytics to provide personalized health insights and proactive recommendations.

🖼️ DeepDream

Created an innovative application that combines neural networks and brainwave input to generate unique digital art. Leveraged PyTorch and cloud infrastructure to process real-time data and produce interactive, user-driven artwork.

Recommendations

Dr. Samuel Lee

Vanessa's expertise in NeuroAI and her innovative approach to BCI development have set new standards in our research lab. Her dedication and creativity are truly inspiring.

Priya Patel

Working with Vanessa on cloud-based AI solutions was a fantastic experience. She combines technical brilliance with a collaborative spirit, making her an invaluable team member.

Alex Kim

Vanessa's ability to bridge neuroscience and artificial intelligence is remarkable. Her projects consistently deliver real-world impact and showcase her leadership in emerging technologies.