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Dr. Alex Liu is one of the world's top experts in data-driven research methodologies. He is renowned for his work on big data analytics and machine learning as applied to business and social research, and especially as the creator and leading developer of Holistic Computation. Dr. Liu is currently advising a few AI startups, leading the RMDS Lab and also a few other AI projects, serving as an advisor to the Harvard Data Science Review, and an AI educator at the California Institute of Technology in Pasadena. He is a thought leader in data science, certified by IBM, and a distinguished data scientist, certified by the Open Group. He is a frequent speaker at industrial conferences such as IBM THINK and ODSC.

Before serving RMDS Lab and Harvard Data Science Review in December 2019, Dr. Liu served as Chief Data Scientist for several corporations, including IBM, RS, and TRG. Prior to that, Dr. Liu taught advanced research methods to Ph.D. candidates at the University of Southern California and the University of California at Irvine, while consulting for many well-known organizations, including the United Nations, Ingram Micro, and Sears. Dr. Liu is one of the few experts who has applied data science to a wide range of fields, from marketing effectiveness and risk scoring to natural disaster prediction, aging, health care, democracy, spiritual capital, and philosophy. His unique data science approach focuses on creating positive social impacts with technologies, for which he has received many awards, including the Outstanding Service Award from the Graduate Student Association in the USA, the Nonprofit Campaign Award from the Media Alliance, the MIB Business Innovation Award, the Outstanding Service Award from USAID, the AIU Teaching Innovation Award, the IBM Solution Award, the IBM Hero Award, the 2024 Banner I. Miller Award from the American Meteorological Society, and the Fulbright Fellowship.

His publications include "Transforming Healthcare with Big Data and AI",  "Apache Spark Machine Learning Blueprints", "Structural Equation Modeling and Latent Variable Approaches", "Building Regression Models in Social Science", "Building Structural Equation Models in Social Science", "4Capital Theory - Material Capital, Intellectual Capital, Social Capital and Spiritual Capital" and "Patterns and Results of the Third Democratization Wave".