Alexander Didenko

Alexander Didenko

Professor of Business Practice, Head of AI Laboratory
    Биография

    Alexander Didenko is the Head of the AI Laboratory at Moscow School of Management SKOLKOVO. Concurrently he directs the Laboratory of Neurosciences in Management at IBS, RANEPA, overseeing the Behavioral Analytics and Neuromarketing graduate program focused on consumer neuroscience and decision-making patterns. He is a researcher and entrepreneur with expertise at the intersection of economics, neuroscience, and data science.

    In his earlier career, Dr. Didenko created algorithms for trading in financial markets and held executive positions in banking and education. He co-founded several startups, including 70! – a company involved in R&D on data analysis in financial markets. Currently he acts as scientific lead of data analytics team of MyInvest.Art, where he contributes to development of data-driven pricing algorithms for investment-grade art. In 2003, he received his PhD from Plekhanov Russian University of Economics with a dissertation at the intersection of behavioral economics and data science.

    Current Research Focus

    Dr. Didenko's research currently centers on artificial intelligence applications in business and economics, bridging AI, neuroscience, and institutional economics:

    • AI implementation dynamics – studies success factors of AI adoption in organizations through cognitive theory of the firm lens.
    • Cultural alignment of LLMs – developing assessment tools using Hofstede's dimensions (Power Distance, Individualism/Collectivism) to measure AI's cultural biases.
    • Causal AI frameworks for modeling impulsive consumer behavior and decision anomalies.
    • NLP-powered organizational diagnostics – analyzes communication patterns in corporate ecosystems.
    • Multimodal emotion modeling – develops bio-social constructs of emotions using EEG, facial coding, and speech analytics integration.
    • AI trust engineering – experimental studies combining personal construct theory with neurophysiological measurements.

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