🚧 Still Building - Content Being Refined 🚧
🤖 AI-Enhanced Research

AI Integration & Collaboration

Leveraging artificial intelligence to accelerate scientific discovery, enhance research workflows, and bridge interdisciplinary gaps.

AI Tools
4+
Daily Use
Applications
10+
Research Areas
Workflows
100%
AI-Enhanced
Efficiency
3x
Faster Dev

🛠️ AI Tools in My Arsenal

GitHub Copilot

⚡ Active

AI pair programmer that accelerates coding with intelligent completions, instant debugging, and context-aware suggestions.

Code Generation
Debugging
Refactoring

Daily Integration: 100%

ChatGPT

🔥 Hot

Versatile language model for brainstorming, writing assistance, and problem-solving across all research domains.

Research
Writing
Analysis

Daily Integration: 100%

C
Claude

📚 Deep

Advanced reasoning for code review, technical documentation, and complex problem decomposition.

Code Review
Documentation
Reasoning

Weekly Integration: 75%

DeepSeek

🎯 Precise

Specialized for algorithm optimization, mathematical modeling, and technical deep-dives.

Algorithms
Math
Optimization

As-Needed: 50%

🔬 Real-World Applications

1

Data Analysis & Visualization

AI-accelerated pipelines for processing experimental data, generating publication-ready figures, and uncovering hidden patterns.

Automated workflows
Statistical guidance
Plot optimization
2

Literature Review & Synthesis

Rapid paper synthesis, gap identification, and draft generation for manuscripts and grant proposals.

Paper summarization
Cross-field links
Draft outlines
3

Code Development & Debugging

Accelerated development of research tools, control systems, and data acquisition platforms.

Rapid prototyping
Bug resolution
Code optimization

💡 Guiding Principles

AI as a collaborative tool that enhances rather than replaces human creativity and expertise.

Critical Evaluation

Always verify AI-generated content and cross-check with primary sources before integration into research outputs.

Iterative Refinement

Use AI as a starting point, then refine outputs with domain expertise and contextual understanding.

Transparency

Acknowledge AI assistance where appropriate in publications, maintaining academic integrity and honesty.

Ethical Use

Respect data privacy, copyright, and academic standards in all AI-assisted research activities.

🚀 Future Explorations

🧬 Machine Learning for DNA-Polymer Assembly

Developing predictive models to optimize DNA-polymer self-assembly behavior, reducing trial-and-error in experimental design.

🎯 AI-Driven Experimental Design

Leveraging optimization algorithms to design experiments that maximize information gain while minimizing resource use.

🤖 Natural Language Lab Interfaces

Building conversational interfaces for lab automation, enabling researchers to control equipment using natural language commands.

🌐 Collaborative AI for Teams

Creating AI tools that facilitate interdisciplinary collaboration by translating concepts across research domains.

Let's Collaborate

Interested in AI-Enhanced Research?

I'm always excited to discuss AI applications in science, share experiences, and explore collaborative opportunities.