Eric Siegel

Eric Siegel

Eric Siegel, Ph.D., stands as a prominent figure in the field of machine learning, blending his extensive academic background with practical industry expertise. He is the founder of Machine Learning Week, a leading conference series that delves into the commercial deployment of machine learning, attracting a diverse range of professionals and practitioners.

As a former Columbia University professor, Siegel has a distinguished academic career, earning accolades such as the Distinguished Faculty award for his teachings in machine learning and artificial intelligence. His work at Columbia was later complemented by his role as a business school professor at the University of Virginia’s Darden School of Business.

In addition to his academic achievements, Eric Siegel is a best-selling author, known for “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,” a book widely used in university courses and acclaimed for its insightful exploration of predictive analytics. He is also the executive editor of The Machine Learning Times and the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery.”

Siegel’s ability to bridge technology and business has made him a sought-after consultant and keynote speaker. His expertise has been featured in various media outlets, including Bloomberg, National Geographic, NPR, and he has published in Newsweek, Harvard Business Review, Scientific American blog, The Washington Post, and The Wall Street Journal. His dedication to advancing the field of machine learning and AI is evident in his continued involvement in conferences, consulting, and educational endeavors.

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