Professor, Researcher, Entrepreneur, obsessed with using data to make effective, high-quality decisions.Covering Data centricity, Causal inference, & AI.Need more info? Read on.With over 15 years of experience in statistical modeling and machine learning, I've structured and solved causal (and predictive) modeling problems, managed data science teams, advised at the executive level on business analytics and digital transformation, and mentored tech startups on digital platform and data strategy.My "data science" expertise lies in causal inference using statistical, machine learning, and Bayesian methods, and in exploring what-if scenarios or counterfactuals using agent-based models. I currently work on solving quasi experimental problems in and around digital platforms (peer-to-peer markets, sharing economy), developing the Data Centricity concept (datacentricity.org), and writing the "Causal Book" at causalbook.com.I received several awards for developing and teaching the graduate courses Predictive Analytics & Modeling and Big Data & Artificial Intelligence (covering parametric and nonparametric methods incl. generalized linear models, tree and ensemble methods, causal ML, double machine learning, causal forests, causal discovery, reinforcement learning).Links to my talks intended for a broader audience (excluding academic talks):- "Mind the AI Gap: Understanding vs. Knowing": ozer.gt/talks/mind-the-ai-gap.html- "Data Centricity: Staying true to the data": ozer.gt/talks/data-centricity.htmlTotally unnecessary footnotes:* The cover is a minimalist painting by Midjourney (v3.0) on "the complexity of life, mathematics, nature, and data."** Any italicized text in the posts is either an excerpt/quote or written by my assistant and edited by me.*** Original posts are at ozer.gt/log. I use a script to remove titles and add line breaks (!) when copying here.**** "Data science" is a misnomer. Science involves the application of the scientific method using data.