This quantitative finance professional has more than 30 years of experience in financial modeling, algorithmic trading, and statistical analysis. His background includes academic and industry work focused on quantitative trading strategies, pricing models, and financial analytics, along with experience providing expert analysis and testimony in a matter involving intellectual property issues related to execution algorithms. He holds a Doctor of Philosophy in Finance, a Master of Science in Statistics, and a Bachelor of Arts in Economics and Statistics, and has published in peer-reviewed finance journals.

His work focuses on algorithmic trading strategies and quantitative modeling, including development of pricing engines used to generate short-term price predictions across large sets of equities. His work includes high-frequency trading, order-price-impact modeling, and execution strategies incorporating order book data, volatility forecasting, and trend analysis. He has also conducted post-trade analysis and simulation of trading strategies to evaluate performance and refine predictive models, along with work in asset allocation, portfolio optimization, and risk analysis, including statistical arbitrage and estimation risk in portfolio construction. His professional background includes a long-standing academic role as a professor of finance and research roles focused on quantitative trading and financial modeling.