https://github.com/exios66/jack-burleson-ljm
The Personal Portfolio of Jack J. Burleson, Pen Name Lucius J. Morningstar. Developments at the intersection of Neuroscience, Computer Science, and Machine Learning.
https://github.com/exios66/jack-burleson-ljm
personal-project portfolio-website
Last synced: over 1 year ago
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The Personal Portfolio of Jack J. Burleson, Pen Name Lucius J. Morningstar. Developments at the intersection of Neuroscience, Computer Science, and Machine Learning.
- Host: GitHub
- URL: https://github.com/exios66/jack-burleson-ljm
- Owner: Exios66
- Created: 2024-07-10T20:09:38.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-19T16:59:40.000Z (almost 2 years ago)
- Last Synced: 2025-03-27T08:11:13.664Z (over 1 year ago)
- Topics: personal-project, portfolio-website
- Language: TypeScript
- Homepage: https://jack-burleson-ljm.vercel.app/
- Size: 878 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 9
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Metadata Files:
- Readme: README.md
- Authors: AUTHORS.md
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README
# Welcome to Jack J Burleson's Portfolio (Pen Name: Lucius J Morningstar)
## About Me
Hello! I'm Jack J Burleson (also known by the pen name Lucius J Morningstar), a passionate researcher and developer at the intersection of neuroscience, artificial intelligence, and clinical psychology. My work spans multiple disciplines, combining cutting-edge technology with a deep understanding of the human mind.
### 🧠 Neuroscience & Computational Neuroscience
My fascination with the brain's intricate workings drives my research in neuroscience. I'm particularly interested in:
- Neural network modeling
- Brain-computer interfaces
- Cognitive processes and their computational analogues
### 🤖 Machine Learning & Artificial Intelligence
I leverage ML and AI techniques to push the boundaries of what's possible in neuroscience and psychology:
- Deep learning architectures for brain signal analysis
- Reinforcement learning models of decision-making
- AI-assisted diagnosis and treatment planning in mental health
### 💬 Natural Language Processing (NLP)
My work in NLP focuses on:
- Sentiment analysis in clinical settings
- Automated analysis of therapy transcripts
- Language models for mental health chatbots
### 👩⚕️ Clinical Psychology
I'm dedicated to applying technological advancements to improve mental health care:
- Digital interventions for mental health disorders
- Predictive modeling of treatment outcomes
- AI-enhanced cognitive behavioral therapy (CBT) tools
### 📊 Data Science
My data science skills support all aspects of my research:
- Big data analysis of neuroimaging datasets
- Predictive modeling of psychological phenomena
- Data visualization of complex neural and behavioral patterns
## Projects
Here are some of my key projects that showcase the intersection of my interests:
1. **[Project Name]**: A neural network model for predicting treatment outcomes in mental health.
2. **[Project Name]**: An NLP-based system for automated analysis of therapy sessions.
3. **[Project Name]**: A brain-computer interface for assisting locked-in patients with communication.
[Add more projects as needed]
## Skills
- Programming Languages: Python, R, MATLAB, JavaScript
- ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn
- Neuroimaging Tools: FSL, SPM, AFNI
- Data Analysis: Pandas, NumPy, SciPy
- Visualization: Matplotlib, Seaborn, D3.js
- Version Control: Git, GitHub
- Cloud Platforms: AWS, Google Cloud
## Publications
[List any relevant publications, presentations, or conference papers]