Data Modeling Case Studies
Simulation, implementation guides, and decision models for situations where intuition is not enough.
This section covers the models that shape product and infrastructure decisions: Monte Carlo risk studies, system-capacity simulations, implementation specs, and queueing models that make tradeoffs visible before they become expensive.
Collateral-Risk Monte Carlo Model
A Monte Carlo study that made tail risk visible enough to justify raising the collateral floor from 30 percent to 50 percent.
Explore the collateral-risk simulation
Tokenomics: From White Paper to Build Spec
Turning an economic design document into module boundaries, ownership, and a build sequence engineers could actually ship against.
Read the tokenomics implementation case study
Token Supply & Capacity Model
A first predictive simulator linking emissions, capacity, utilization, and price to answer board-level questions about network design.
Explore the token supply and capacity model
Optimizing Queueing Models in Server Systems
Using queueing theory to reason about throughput, wait times, and architecture tradeoffs instead of hand-waving about server efficiency.
Explore the queueing-model case study