I am an applied mathematician/data scientist with over 16 years of industry experience. I have led projects that include high-frequency trading, statistical DNA reconstruction, negotiation modeling, natural language processing, programming language development, and a variety of machine learning methods for predictive modeling. I have expert knowledge of mathematics, statistics, probability, machine learning, computer architecture, algorithms, and several programming languages and tools. I offer the following services: Some cool projects I've done in the past: --Built a fully automated model that predicts US Supreme Court justice votes better than the best human predictors, based on natural language processing (75% accurate and improving) --Created an algorithm to identify the host organism of an unknown, fragmented DNA sample (30x faster than previous state of the art) --Developed successful automated trading strategies --Established a model to exploit arbitrage between betting venues --Calculated optimal strategies in structured negotiations --Modeled urban real estate markets --Built a realistic model of birds flocking --And more!