Mr. David Jukl is an investment strategist and PhD researcher in Finance at University of Finance and Administration, specializing in algorithmic trading, FX markets, and quantitative finance. With over 18 years of industry experience, he integrates data-driven investment strategies with automated trading systems. His scholarly contributions include publications on feature selection in FX trading, mean-reversion strategies, and systematic reviews of algorithmic trading, with collaborations alongside Jan Lansky. Jukl’s work bridges academia and practice, advancing financial analytics and improving investment decision-making in global capital markets through robust, evidence-based methodologies.