Projects

Applied research at the intersection of analytical chemistry and machine learning

Active Projects

Spectroscopy Data Platform

Online platform for spectroscopy data analysis and visualization. Completed features include data upload interface, spectroscopy analysis library, and curated datasets from 30+ papers on gold nanoparticle formation.

Status: Core functionality complete
Focus: Spectroscopy, Data Platform, Visualization

Distributions in Chemistry and Biology

Exploring the fundamental role of distributions in chemical and biological systems through posts examining problems and methods for understanding distributional phenomena.

Status: Content development
Focus: Distributions, Statistics, Chemistry, Biology

ML-Powered Nanoparticle Synthesis

Understanding nanoparticle synthesis through data-driven approaches, combining data platforms, distributional analysis, and physics-inspired modeling.

Status: Research and development
Focus: Machine Learning, Nanoparticles, Physics-Informed Models

More projects will be added as development progresses.

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subtitle: "Applied research at the intersection of analytical chemistry and machine learning"
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## Active Projects

### [Spectroscopy Data Platform](/projects/spectroscopy-data-platform.qmd)

Online platform for spectroscopy data analysis and visualization. Completed features include data upload interface, spectroscopy analysis library, and curated datasets from 30+ papers on gold nanoparticle formation.

**Status**: Core functionality complete  
**Focus**: Spectroscopy, Data Platform, Visualization

### [Distributions in Chemistry and Biology](/projects/distributions-chemistry-biology.qmd)

Exploring the fundamental role of distributions in chemical and biological systems through posts examining problems and methods for understanding distributional phenomena.

**Status**: Content development  
**Focus**: Distributions, Statistics, Chemistry, Biology

### [ML-Powered Nanoparticle Synthesis](/projects/ml-nanoparticle-synthesis.qmd)

Understanding nanoparticle synthesis through data-driven approaches, combining data platforms, distributional analysis, and physics-inspired modeling.

**Status**: Research and development  
**Focus**: Machine Learning, Nanoparticles, Physics-Informed Models

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*More projects will be added as development progresses.*