People Data Science, ML, and I-O Psychology Research.
Felix George, Jr. works at the intersection of data science, machine learning, I/O psychology, and developer experience. He holds a PhD in Industrial-Organizational Psychology from Texas A&M University and has spent the past decade working across psychological assessment, people analytics, and applied machine learning; he has worked in academic research and at global and multi-national organizations including Block and TruStage Insurance. He is also a Visiting Scholar at Texas A&M.
Self-report measures are characterized as being susceptible to threats.
The Lazy or Dishonest Respondent: Detection and Prevention
A review of response distortion and careless responding in self-report measures.
Research & Practice
Questions about how organizations collect, interpret, and act on data about people — explored through academic research and applied analytics work.
The Lazy or Dishonest Respondent: Detection and Prevention
A review of methods for identifying and managing careless and intentionally deceptive survey responses — a persistent challenge in organizational research and HR data collection. Co-authored with Winfred Arthur Jr. and Erin Hagen. Published in the Annual Review of Organizational Psychology and Organizational Behavior, 2021.
Ordered Piecewise Additive Learner
Preprints · 2026Item Writing Quality & Test Performance
Human Performance · 2025Ethical Person-Environment Fit
HRMR · 2022People analytics in industry
At Block and TruStage Insurance, I built predictive pipelines, fine-tuned large language models to analyze employee survey text, and designed data infrastructure to support people-related decisions — from headcount forecasting to sales driver modeling.
As of May 2026 · Google Scholar
Open to research collaborations, consulting conversations, and peer exchange.
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