Global Association for Research Methods, Data Science and Artificial Intelligence (GrmdsAI) is the continuation of the RM Institute, which has delivered consultation and training in research methods, data science, machine learning, and AI since 2000. Formally established in California as a non-profit in 2016, GrmdsAI is the steward of the intellectual property and ecosystem behind Holistic Computation (HC)—including 4Capital, Causal AI, and the 4Es operating framework. Since 2019, we have established and supported technology labs, developed HC use cases, and served customers and partners across sectors.
Advance rigorous, responsible, and value-aligned research and AI practice—so organizations can turn evidence into reliable, equitable decisions at scale.
Advisory & Lab Enablement — Stand up and modernize analytics/AI labs; design operating models and governance aligned to HC.
Education & Certification — Practitioner-focused programs in research methods, causal inference, forecasting, and responsible AI.
Solution Development — Build and transfer HC use cases in healthcare & wellness, clean-energy operations, and research optimization.
Community & Convening — Connect practitioners and leaders to share proven methods and accelerate impact.
Whole-person health: Earlier risk detection, personalized care pathways, equity-aware delivery.
Energy & infrastructure: Forecasts translated into safe, profitable dispatch, maintenance, and demand response.
Research excellence: Portfolios aligned to clear goals, higher reproducibility, and transparent impact.
Clarify goals and stakeholders across measurable outcomes.
Make assumptions explicit and define decision points before modeling.
Prove value and safety with calibration, robustness, fairness, and decision-value tests.
Deploy with guardrails—policy cards, audit trails, and monitoring for drift and recourse.
Scale what works via shared playbooks, registries, and governance.
We are mission-driven, vendor-neutral, and privacy-first. Our purpose is to build capacity—not dependency—and to help each partner move from data to decisions, and from decisions to impact.
Dr.
Alex Liu is the Director of the RMDS Lab and the SPT Energy AI Lab, an
advisor for the Harvard Data Science Review, and an AI educator at Cal Tech.
From 2013 to 2019, Alex was recognized as a thought leader in data science
and served as a Distinguished Data Scientist at IBM, where he held the role
of Chief Data Scientist for Analytics Services.
Before joining IBM, Dr. Liu worked as Chief Data Scientist for several companies, including iSKY and Retention Science. He also has an extensive academic background, teaching advanced quantitative methods to MBA and PhD candidates at the University of Southern California and the University of California, Irvine. During this time, he consulted for prominent organizations such as the United Nations and Ingram Micro.
Dr. Liu holds an MS in Statistical Computing and a PhD in Quantitative Sociology from Stanford University. Click HERE for more about Dr. Alex Liu.
