Alex Liu
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Director and Chief Scientist at RMDS
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Stanford University
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South Pasadena - CA
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https://www.researchmethods.org/alex
Dr. Alex Liu is an innovation leader in data science and AI. He is known for his work on big data analytics and machine learning as applied to business and social research, and currently serves as the president of the Global Association for Research Methods and Data Science, a director of the RMDS Lab as well as a director of IDP. Dr. Liu is a thought leader on data science as certified by IBM and a distinguished data scientist as certified by the Open Group. He serves as an advisor to the Harvard University Data Science Review magazine, and is a pioneer of ecosystem approaches for data science and AI. His publications include Transforming Health Care with BIg Data and AI by Information Age Publishing, Apache Spark Machine Learning Blueprints by Packt Publishing, Structural Equation Modeling and Latent Variable Approaches by Wiley. Alex has a Ph.D. and M.S. from Stanford University.
Alex Liu’s Data Science Portfolio
Alex Liu’s Impact Score: 27.23
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Perceived Capacity: 5.41
lt measures the capacity (e.g., knowledge, skills) of a user that serves as the foundation of their personal impact.
Project Outcome: 4.53
It measures the concrete changes that a project brings, like the revenue generated by the project.
Project Quality: 7.73
It measures the quality of a project at various stages in the process including validity, reliability, and reproducibility
Project Engagement: 2.69
It measures the extent that a project helps to generate insights in other institution.
Perceived Participation: 6.86
It measures the degree of user involvement and participation in online and offline activites.
