Bridging the gap between physical hardware and quantum-ready simulation.
> SULLIVAN R. STEELE
> DATA SCIENTIST & AVID MAKER
I do not just analyze data; I build the systems that generate it. From synthetic data generation for aquaculture to embedded sensor networks for agriculture, my work operates at the intersection of rigorous code and physical reality.
Investigating algorithms for Atomic Stability (Idea 111) and Electron Cloud Raytracing (Idea 122).
Microcontroller technologies, agricultural sensor threads (Idea 512), and robotics.
Solving data scarcity by training AI on computer-simulated datasets (Fish Paper).
Challenge: Training accurate computer vision models for fish detection without expensive manual data labeling.
Solution: Developed a "Virtual Simulation Aided AI Model." I simulated fish schooling behavior to create a synthetic dataset.
READ_PUBLICATION
Selected concepts from my archive of 850+ inventions (2017–Present).
Filtered for: Simulation, Physics, IoT
Ref #108/110: Simulation of gravitational fields mapped to colors. Investigating atomic attraction modeling.
Ref #122: Chemical bonding program using raytracing to visualize electron clouds of molecules.
Ref #514: Computer vision system that tracks growth rates and diagnoses plant health issues autonomously.
Ref #460: Autonomous robot for railroad tracks using CV to detect debris and structural anomalies.
Ref #733: Agent-based model where AI sets scent trails to direct swarm behavior.
Ref #441: Study correlating musician breathing patterns with tempo dynamics in non-wind instruments.
{
"name": "Sullivan R. Steele",
"education": "B.S. Data Analytics, Shepherd University",
"languages": [
"Python", "R", "Rust", "C++", "JavaScript"
],
"specialties": [
"Synthetic Data Generation",
"Legacy System Modernization",
"Microcontroller Technologies"
],
"impact": {
"Workforce_WV": "Saved $1000+ rewriting libraries",
"Conservation_Fund": "Saved $10,000 via ML optimization"
},
"contact": "sullivanrsteele@gmail.com"
}