---
title: "Science and Machines"
subtitle: "Exploring how analytical chemistry + ML can transform biology"
page-layout: custom
toc: false
---

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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 Projects

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### Three Connected Projects

Working on an integrated approach to ML-powered nanoparticle synthesis through three interconnected projects:

1. **[Spectroscopy Data Platform](/projects/spectroscopy-data-platform.qmd)** - Data sourcing and management
2. **[Distributions in Chemistry and Biology](/projects/distributions-chemistry-biology.qmd)** - Understanding variability
3. **[ML-Powered Nanoparticle Synthesis](/projects/ml-nanoparticle-synthesis.qmd)** - Physics-inspired modeling

[→ View All Projects](/projects/)
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## Daily Learnings

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### Latest Discovery
Check out today's learning about [UV-Vis for Nanoparticles](/daily/2025-07-04/) - using machine learning to decode SPR spectra!

[→ View all daily learnings](/daily/)
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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. See how [UV-Vis compares to TEM](/daily/2025-07-04/uv-vis-vs-tem.qmd) for nanoparticle analysis.
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### Simulation and instrument development 
Instrument development can be accelerated with simulation. Explore [SPR spectra calculations](/daily/2025-07-04/spr-spectra.qmd) for nanoparticle characterization.
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### Optimizing Experimental Design
Experimental design and method development could benefit dramatically from ML optimization. Learn about [molecular property prediction](/daily/2025-06-27/) for targeted experiments.
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## Learning Timeline

```{=html}
<div class="timeline-preview">
  <div class="timeline-item">
    <div class="timeline-date">June 2025</div>
    <div class="timeline-content">Started journey: ML background → Analytical Chemistry exploration</div>
  </div>
  <div class="timeline-item">
    <div class="timeline-date">July 2025</div>
    <div class="timeline-content">Deep diving into UV-Vis spectroscopy, nanoparticle analysis, and SPR applications</div>
  </div>
  <div class="timeline-item current">
    <div class="timeline-date">Now</div>
    <div class="timeline-content">Working on: UV/Vis data analysis project + SpectroGroove platform for spectrum analytics</div>
  </div>
  <div class="timeline-item future">
    <div class="timeline-date">Coming up</div>
    <div class="timeline-content">Fitting distributions, Physics inspired models, Quantum simulations for material design</div>
  </div>
</div>
```

[→ Full Timeline](/progress/timeline.qmd)

## Join the Journey

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### 📚 Follow Along
Read weekly learning logs documenting discoveries, failures, and insights.

[Learning Logs →](/learning-logs/)
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### 🤝 Contribute
Share your expertise, suggest resources, or collaborate on projects.

[Community →](/community/challenges/)
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### 💡 Explore Ideas
Browse emerging applications at the ML + analytical chemistry intersection.

[Knowledge Base →](/knowledge-base/ml-intersections/)
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### ❓ Open Questions
Help answer key questions driving this exploration.

[Questions →](/progress/questions.qmd)
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*Learning in public to accelerate discovery at the intersection of analytical chemistry and machine learning.*