Jonathan Polon

Background

About Jonathan Polon

I pioneered predictive analytics and machine learning in life and health insurance, built an analytics company ultimately acquired by PartnerRe, and now lead machine learning innovation at SigmaSight. My mission: transform how insurers quantify and negotiate liability risks using applied ML. Recent builds include: • Patent-pending litigation modeling framework running 18 ML models in parallel, calibrated across carriers without retraining • Stochastic simulation engine quantifying claims valuation variance and confidence intervals with precision well beyond actuarial methods • Industry-first ML model predicting attorney and venue performance at trial • Game-theoretic and reinforcement learning models optimizing insurer negotiation strategies I thrive at the frontier of applied ML: engineering algorithms, generating deployment-ready documentation for production teams, and advancing predictive accuracy into domains where it hasn’t existed before. I stay deeply hands-on: building models, feature engineering, tuning hyperparameters, and maximizing interpretability without sacrificing accuracy. My toolkit spans decision trees, regression frameworks, and advanced methods including neural networks, genetic algorithms, reinforcement learning, and game theory. My goal: turn cutting-edge ML into defensible, scalable IP and durable competitive advantage for insurers navigating complex negotiations.