Eric Siegel, Ph.D., is a renowned consultant and former Columbia University professor with extensive experience in data mining, text mining, and predictive analytics. He has authored the best-selling book "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die" and founded the long-running Predictive Analytics World and Deep Learning World conference series. With over 17,000 attendees since 2009, Siegel is an expert in machine learning, making it understandable and engaging for businesses of all sizes.

Siegel is a Coursera Instructor at Machine Learning for Everyone, where he educates professionals on end-to-end, business-oriented machine learning applications. He is also a frequent speaker commissioned for more than 100 keynote addresses and an executive editor of The Machine Learning Times. Siegel has also won numerous teaching awards while at Columbia University, where he was an Assistant Professor.

Throughout his career, Siegel has been an advisory board member for institutions such as Brandeis University Graduate Professional Studies and UC Irvine. He was also the President of Prediction Impact, Inc. and the Director of Technology Integration and Co-Founder of CounterStorm. Siegel's insights on analytics and social justice are regularly published in op-ed pieces.