TONY LEO
Systems / Data / Biology
From Silicon to Cytoplasm
The most interesting problems live at the boundaries between fields.
Software engineer. Data scientist. Product manager. Fourteen years building systems that make complexity legible—from enterprise integrations and vehicle dispatching algorithms to product strategy for Ford's commercial businesses.
The next chapter is biological. I'm deep in general and organic chemistry now, building toward an MS in Biotechnology. The conviction is simple: the frameworks that decode operational systems translate to molecular ones.
The deeper you look, the more coherent it becomes—not less. What should feel improbable starts to feel inevitable. At every scale, the elegance of the design compels you deeper. That wonder is what drives all of this.
Continuous accumulation
The road to molecular biology
Completing the science prerequisites for the MS in Biotechnology at Johns Hopkins. Currently in General Chemistry II, with organic chemistry ahead. Each course adds another layer to the foundation.
Selected Works
Acid-Base Mastery
Interactive learning module for acid-base chemistry. Visualizations, ICE tables, titration curves, buffers, and a problem bank spanning Arrhenius through Henderson-Hasselbalch.
Le Chatelier's Principle
Interactive chemistry visualization exploring chemical equilibrium dynamics. Disturb the system and watch it shift to restore balance.
Murmuration Flow
Interactive algorithmic art implementing Craig Reynolds' Boid flocking algorithm. Starling dynamics rendered in code.
Stigmergic Emergence
Ant colony optimization. Pheromone trails. Emergent collective behavior from simple rules.
The Evolution of AI
Interactive tutorial exploring 80+ years of AI history—from statistical methods to modern large language models like Claude.
Let's talk.
Interested in collaboration, questions, or geeking out about cell biology and algorithmic art.