Statistical Modeling
Physics-Based Kinetic Simulations & Stochastic Risk Analytics
We put numbers behind engineering judgment in volatile physical and financial environments through rigorous computational mathematics. Utilizing the open-source scientific Python stack, we engineer custom simulation environments that model highly complex, non-linear variables — from multi-point financial returns to thermodynamic fluid mechanics.
What we deliver
Hydrodynamic & Water-Quality Simulation
Shallow-water wave models, lake mass-balance chemistry and hazard scenarios, run with Monte Carlo uncertainty and checked against observed data.
Commodity Price & Energy Hedging Models
Applying stochastic price processes (such as mean-reverting Ornstein-Uhlenbeck curves) and option-pricing frameworks to map volatile wholesale pricing surfaces.
Project Portfolio Volatility Forecasting
Deploying advanced Monte Carlo engines across multi-billion dollar schedules and cost estimates to isolate Value at Risk (VaR) and establish firm P80 confidence boundaries.