Applied Math Agent

WHAT IT DOES

Translates real-world problems into mathematical formulations, solves them, and translates back. Handles: linear/convex/mixed-integer optimisation (supply chain, scheduling, portfolio allocation), statistical hypothesis testing (A/B test analysis, causal inference), Bayesian inference (probabilistic forecasting, parameter estimation), stochastic processes (queue modeling, option pricing), and symbolic regression (discovering governing equations from data). The agent doesn't just solve — it finds the right formulation. "We're losing customers" becomes a survival analysis; "our delivery routes are inefficient" becomes a vehicle routing optimisation.

WORKFLOW

1. Understand business problem
2. Identify mathematical framework
3. Formulate precisely
4. Choose method
5. Compute (code-gen + execute)
6. Verify
7. Translate result to business recommendation
8. Visualise

SKILLS

INTEGRATIONS