Exploring how analytical chemistry + ML can transform biology
How can analytical chemistry + machine learning create breakthroughs in biology and biotech?
Iām a machine learning practitioner learning analytical chemistry to discover transformative applications at this intersection. This site documents my journey, insights, and the community building around this exploration.
Exploring how UV/Vis spectroscopy can be enhanced with machine learning techniques to improve data analysis and interpretation in analytical chemistry.
Analytical instruments have massive potential to generate data that is perfect for ML approaches.
Instrument development can be accelrated with simulation.
Experimental design and method development could benefit dramatically from ML optimization.
Read weekly learning logs documenting discoveries, failures, and insights.
Share your expertise, suggest resources, or collaborate on projects.
Browse emerging applications at the ML + analytical chemistry intersection.
Help answer key questions driving this exploration.
Learning in public to accelerate discovery at the intersection of analytical chemistry and machine learning.
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subtitle: "Exploring how analytical chemistry + ML can transform biology"
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# The Learning Question
**How can analytical chemistry + machine learning create breakthroughs in biology and biotech?**
I'm a machine learning practitioner learning analytical chemistry to discover transformative applications at this intersection. This site documents my journey, insights, and the community building around this exploration.
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## Current Learning Focus
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### This Week: Applications vis/uv spectroscopy
Exploring how UV/Vis spectroscopy can be enhanced with machine learning techniques to improve data analysis and interpretation in analytical chemistry.
[ā Latest Learning Log](/learning-logs/)
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## Recent Insights
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### Data Richness
Analytical instruments have massive potential to generate data that is perfect for ML approaches.
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### Simulation and instrument development
Instrument development can be accelrated with simulation.
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### Optimizing Experimental Design
Experimental design and method development could benefit dramatically from ML optimization.
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## Learning Timeline
```{=html}
<div class="timeline-preview">
<div class="timeline-item">
<div class="timeline-date">January 2025</div>
<div class="timeline-content">Started journey: ML background ā Analytical Chemistry exploration</div>
</div>
<div class="timeline-item current">
<div class="timeline-date">Now</div>
<div class="timeline-content">Learning vis/uv spectroscopy applications, limits, etc</div>
</div>
<div class="timeline-item future">
<div class="timeline-date">Coming</div>
<div class="timeline-content">First ML + analytical chemistry project</div>
</div>
</div>
```
[ā Full Timeline](/progress/timeline.qmd)
## Join the Journey
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### š Follow Along
Read weekly learning logs documenting discoveries, failures, and insights.
[Learning Logs ā](/learning-logs/)
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### š¤ Contribute
Share your expertise, suggest resources, or collaborate on projects.
[Community ā](/community/challenges/)
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### š” Explore Ideas
Browse emerging applications at the ML + analytical chemistry intersection.
[Knowledge Base ā](/knowledge-base/ml-intersections/)
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### ā Open Questions
Help answer key questions driving this exploration.
[Questions ā](/progress/questions.qmd)
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*Learning in public to accelerate discovery at the intersection of analytical chemistry and machine learning.*