About
A research-focused engineering effort examining how computational systems behave under real-world constraints.
Mission
SparseTech is a research-focused engineering effort examining how modern computational systems behave as real-world constraints—energy, bandwidth, safety, and deployability—become dominant design factors.
Our work centers on understanding where established approaches begin to strain, and what kinds of mathematical structure and system-level discipline are required as scale, efficiency, and reliability increasingly matter more than raw throughput.
"Understanding where systems strain is the first step toward building ones that don't."
- →Efficiency over throughput
- →Predictability as priority
- →Verifiability by design
- →Mathematical foundations
Vision
We believe the next generation of computational infrastructure will be shaped less by brute-force scaling and more by careful alignment between mathematics, physical constraints, and real-world systems.
SparseTech's long-term vision is a computing landscape where efficiency, predictability, and verifiability are first-class considerations—across both signal-centric systems and model-based computation—guided by shared mathematical foundations rather than domain-specific hacks.
Core Values
Rigor
Mathematical and engineering discipline over novelty.
Constraint Awareness
Real-world limits as design inputs.
Verifiability
Predictable, testable system behavior.
Restraint
Careful publication and communication.
Team
Aaron R. Flouro, P.E., PMP
Licensed Professional Engineer with a background in structural engineering, forensic evaluation, and the delivery of high-reliability systems in regulated environments.
His work focuses on the boundary between theory and real-world deployment, where mathematical models, physical constraints, codes, and standards intersect.
Through SparseTech, he conducts research into how established computational techniques behave as energy, bandwidth, safety, and infrastructure constraints become dominant design factors.
Shawn P. Chadwick, PhD
Intellectual property strategist and research engineer with a Ph.D. from the University of Wisconsin–Madison, specializing in mathematical rigor, system design, and defensible technical disclosure.
His work focuses on shaping research programs so that fundamental ideas are expressed clearly, protected effectively, and translated into durable intellectual property.
At SparseTech, Shawn guides intellectual property development alongside internal research validation, emphasizing clarity of invention and strategic restraint.