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.
June 24, 2025
Journey Begins
- Background: Machine learning expertise
- Question: How can analytical chemistry + sensors + ML impact biotech?
- Goal: Find high-impact ML applications
June 23rd - June 29th, 2025
Week 1: UV/Vis Spectroscopy
- Understanding core spectroscopy principles
- Exploring ML applications in spectral analysis
- Discovered simulation software for rapid prototyping
- Studied UV-Vis vs TEM comparison for nanoparticles
- → Week 1 Learning Log
June 30th - July 6th, 2025
Week 2: Organic Chemistry Fundamentals
- Understanding orbital energies in UV/Vis spectroscopy
- Studied conjugation and chromophores
- Learned about bathochromic shifts
- Explored photo-reactive molecules
- ML for molecular property prediction - Daily post
July 7th - July 13th, 2025
Week 3: Nanoparticle Analysis
- Focusing on SPR applications for biosensing - SPR daily post
- Learning about LSPR phenomena
- Exploring nanoparticle synthesis with ML
- Deep dive into UV-Vis for nanoparticles and SPR spectra
- Applied learning: Lateral flow tests and gold colloids
- Advanced analysis: Universal UV-Vis models for cross-lab compatibility
- Building ML models for spectral interpretation
July 14th - July 20th, 2025
Week 4: Spectroscopy Platform & ML Foundations
- Built spectroscopy data platform with interactive gold nanorod spectra explorer
- Explored generative AI for optical molecule design
- Developed mathematical foundations for ML in chemistry
- Focused on distributions in chemistry and biology applications
- Advanced spectral analysis with quantum simulation data
- Integration of domain knowledge with ML approaches
Coming up
Next Focus Areas
- Fitting distributions
- Physics inspired models
- Quantum simulations for material design
- ML model deployment