Welcome to my GitHub Page!
Computational Neuroscientist | PhD Candidate at UC San Diego
I am a dedicated and passionate researcher specializing in neurotechnology, machine learning, natural language processing (NLP), and neuroimaging. Currently pursuing a PhD in Computational Neuroscience at UC San Diego, I focus on developing digital biomarkers for cognitive decline through technologies like virtual reality, eye-tracking, and speech analysis.
- 🧠 Cognitive Decline and Biomarkers: Leveraging VR, eye-tracking, and speech analysis for early detection of cognitive impairment.
- 🖥️ Machine Learning in Neuroscience: Developing predictive models for perioperative neurocognitive disorders using fMRI, EEG, and clinical data.
- 🗣️ Natural Language Processing: Using advanced NLP techniques and models (e.g., BERT) to analyze linguistic patterns in Alzheimer's patients.
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Virtual Reality Cognitive Training 🕶️
Developed VR-based cognitive tasks to assess memory and spatial learning in adults, using C# and Unity3D. Integrated eye-tracking and pupillometry data via SRanipal SDK and OpenXR for real-time cognitive performance analysis. -
Speech Analysis and NLP for Alzheimer’s Research 🧠🗣️
Created pipelines using spaCy, NLTK, and BERT to analyze speech features such as lexical complexity and emotional fluency in Alzheimer's patients. -
Machine Learning for Predictive Modeling 🤖
Led development of machine learning models to predict perioperative neurocognitive disorders, integrating fMRI, EEG, and clinical data using TensorFlow, Scikit-learn, and MNE-Python.
- Languages: Python 🐍, C# 🖥️, C++ 💻, Java ☕, Matlab 📊
- Frameworks & Libraries: TensorFlow 🔥, PyTorch 🧠, scikit-learn, OpenCV 🖼️, Unity 🎮
- Tools: Git 🛠️, Docker 🐳, AWS ☁️, Next.js, OpenXR
- Specialized Software: MNE-Python, SRanipal SDK, EEG/fMRI data analysis tools
- Check out my publications on Google Scholar.
- Email: [email protected]
- LinkedIn: Cynthia Nyongesa
Feel free to explore my GitHub repositories to see more of my work in neuroscience, machine learning, and NLP.