Dr. Valeriy Manokhin, MBA, CQF is a globally recognized expert in probabilistic forecasting, uncertainty quantification, and conformal prediction. He is a machine learning researcher with a PhD in Machine Learning, published in peer-reviewed journals, and the author of 7 books used by practitioners in over 100 countries.

Dr. Manokhin has built and advised production AI forecasting systems for multibillion-dollar companies and startups in finance, retail, energy, and technology. His work focuses on forecasting that survives constraints: calibrated uncertainty, defensible evaluation, and decision-aligned metrics.

He teaches from a practitioner’s perspective—bridging theory and production—to help professionals deliver forecasts that hold up under pressure, scale, and executive scrutiny.

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