Learning Timeline

Visual journey through my analytical chemistry exploration

Journey Overview

A chronological view of my learning path from ML practitioner to understanding analytical chemistry’s potential in biology.

Learning Approach

Weekly Deep Dives: Focus on one analytical technique per week
Hands-on Experimentation: Use data + software to test ideas
ML Integration: Constantly evaluate where ML can add value
Documentation: Share insights and progress publicly

Progress Visualization

June 2025

Journey Begins

Background: Machine learning expertise
Question: How can analytical chemistry + sensors + ML impact biotech?
Goal: Find high-impact ML applications

June 17th, 2025 - Present

Week 1: UV/Vis Spectroscopy

Understanding core spectroscopy principles
Exploring ML applications in spectral analysis
Discovered simulation software for rapid prototyping
Looking for tinkering and hacking opportunities

Upcoming

Planned Topics

Chromatography fundamentals
Mass spectrometry basics
Sensor technologies
Bioanalytical applications

Progress Summary

🚀 Journey Started

June 2025 - Began exploring the intersection of analytical chemistry and machine learning with a focus on biotech applications.

📊 Current Status

Week 1 - Deep diving into UV/Vis spectroscopy, understanding how optical measurements can be enhanced with ML techniques.

🎯 Next Milestones

Complete foundational understanding of major analytical techniques
Identify first ML + analytical chemistry project
Build prototype applications
Connect with the analytical chemistry community

This timeline will be updated weekly as the journey progresses.

--- title: "Learning Timeline" subtitle: "Visual journey through my analytical chemistry exploration" --- ## Journey Overview A chronological view of my learning path from ML practitioner to understanding analytical chemistry's potential in biology. ### Learning Approach 1. **Weekly Deep Dives**: Focus on one analytical technique per week 2. **Hands-on Experimentation**: Use data + software to test ideas 3. **ML Integration**: Constantly evaluate where ML can add value 4. **Documentation**: Share insights and progress publicly ## Progress Visualization ```{=html} <style> .timeline-container { position: relative; padding: 2rem 0; margin: 2rem 0; } .timeline-line { position: absolute; left: 50%; top: 0; bottom: 0; width: 4px; background: linear-gradient(180deg, #1f77b4 0%, #ff7f0e 100%); transform: translateX(-50%); } .timeline-item { position: relative; margin: 2rem 0; display: flex; align-items: center; } .timeline-item.left { justify-content: flex-end; padding-right: calc(50% + 2rem); } .timeline-item.right { justify-content: flex-start; padding-left: calc(50% + 2rem); } .timeline-node { position: absolute; left: 50%; transform: translateX(-50%); width: 20px; height: 20px; border-radius: 50%; background: white; border: 4px solid #1f77b4; z-index: 1; } .timeline-node.current { width: 24px; height: 24px; border-color: #ff7f0e; box-shadow: 0 0 0 8px rgba(255, 127, 14, 0.2); } .timeline-node.future { background: #f0f0f0; border-color: #ccc; } .timeline-content { background: white; border: 1px solid #e0e0e0; border-radius: 8px; padding: 1.5rem; box-shadow: 0 2px 4px rgba(0,0,0,0.1); max-width: 400px; } .timeline-content h3 { margin-top: 0; color: #1f77b4; font-size: 1.2rem; } .timeline-content.current h3 { color: #ff7f0e; } .timeline-date { font-weight: 600; color: #666; margin-bottom: 0.5rem; } @media (max-width: 768px) { .timeline-line { left: 20px; } .timeline-item { padding-left: 50px !important; padding-right: 0 !important; } .timeline-node { left: 20px; } .timeline-content { max-width: 100%; } } </style> <div class="timeline-container"> <div class="timeline-line"></div> <div class="timeline-item left"> <div class="timeline-node"></div> <div class="timeline-content"> <div class="timeline-date">June 2025</div> <h3>Journey Begins</h3> <ul> <li>Background: Machine learning expertise</li> <li>Question: How can analytical chemistry + sensors + ML impact biotech?</li> <li>Goal: Find high-impact ML applications</li> </ul> </div> </div> <div class="timeline-item right"> <div class="timeline-node current"></div> <div class="timeline-content current"> <div class="timeline-date">June 17th, 2025 - Present</div> <h3>Week 1: UV/Vis Spectroscopy</h3> <ul> <li>Understanding core spectroscopy principles</li> <li>Exploring ML applications in spectral analysis</li> <li>Discovered simulation software for rapid prototyping</li> <li>Looking for tinkering and hacking opportunities</li> </ul> </div> </div> <div class="timeline-item left"> <div class="timeline-node future"></div> <div class="timeline-content"> <div class="timeline-date">Upcoming</div> <h3>Planned Topics</h3> <ul> <li>Chromatography fundamentals</li> <li>Mass spectrometry basics</li> <li>Sensor technologies</li> <li>Bioanalytical applications</li> </ul> </div> </div> </div> ``` ## Progress Summary ### 🚀 Journey Started **June 2025** - Began exploring the intersection of analytical chemistry and machine learning with a focus on biotech applications. ### 📊 Current Status **Week 1** - Deep diving into UV/Vis spectroscopy, understanding how optical measurements can be enhanced with ML techniques. ### 🎯 Next Milestones - Complete foundational understanding of major analytical techniques - Identify first ML + analytical chemistry project - Build prototype applications - Connect with the analytical chemistry community --- *This timeline will be updated weekly as the journey progresses.*