• Amir Behbehani

    Founder of Serial Metrics

    Amir Behbehani has over 10 years of experience modeling complex systems using various machine learning techniques. Amir is also a recognized expert in pricing theory, specifically competitive pricing in ‘two-sided markets’ that experience network externalities. Amir has designed numerous machine learning solutions for startups and fortune 500 companies including: The Visual Recommendation Engine for Serendipity, the Bi-directional Bayesian Classifier for Swaylo (sold to Facebook), an article recommendation engine for Atypon Systems, the Dynamic Pricing model for Eventbrite, the System Dynamics macroeconomic simulator for AAA, the System Dynamics model for the IBM/MIT Smarter Cities Initiative for the City of Portland, Oregon to name a few.

    www.serialmetrics.com

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