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Math · Data Science · AI · ML · DL

Alexander
Young

Building intelligent systems with mathematical rigor. From predictive AI & statistical models to numerical simulation, turning real and complex problems into elegant, efficient solutions.

How I Work

Quantitative Thinking

Methods, not just tools. How I approach prediction, risk, modeling, and applied problem solving.

Prediction & Forecasting

Probability estimation, calibration, and time series forecasting. Building models where the confidence interval matters as much as the point estimate.

Probability CalibrationTime SeriesSequence ModelsIsotonic & Platt ScalingFeature EngineeringClass Imbalance MethodsCross-Validation DesignModel Selection

Risk, Uncertainty & Decision Logic

Quantifying what could go wrong and by how much. From hypothesis testing to sensitivity analysis, grounding decisions in statistical evidence.

Hypothesis TestingBayesian MethodsMonte Carlo SimulationSensitivity AnalysisStochastic ProcessesStatistical InferenceRisk Modeling

Mathematical Modeling & Simulation

Translating physical and biological systems into equations, then solving them numerically. PDEs, dynamical systems, and optimization under constraints.

PDEs / ODEsNumerical MethodsFourier AnalysisConstrained OptimizationDynamical SystemsLinear Algebra

Applied Across Domains

Energy infrastructure, environmental science, public health, betting markets. The methods transfer; the problems keep the work grounded.

Infrastructure & EnergyEnvironmental SystemsPublic Health AnalyticsFinancial MarketsPythonMATLABRGit / GitHubSQL

Got a problem worth solving?

Whether it's a technical challenge, an ambitious idea, or something still taking shape, I'd be glad to hear about it.