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yrianderreumaux/README.md

Hi there,

I’m a Senior Quantitative UX Researcher at Google with expertise in mixed-methods research, data science, and psychology. My work bridges strategic and tactical UX research, using a wide range of quantitative and qualitative methods to inform product decisions and improve user experiences.

I hold a PhD in Social Psychology from the University of California, Riverside, where my research focused on how people gather information, update beliefs, and make decisions under uncertainty. At Google, I’ve worked across Chrome, Android, and developer tools, tackling challenges in privacy, safety, and security while bridging technical constraints with real-world user needs.

I’m passionate about data-driven storytelling, designing rigorous research frameworks, and making complex systems more intuitive and user-friendly.

Find me here..

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  1. Partisan-Motivated-Sampling Partisan-Motivated-Sampling Public

    Online supplementary material for our paper Partisan-Motivated Sampling: Re-Examining Politically Motivated Reasoning Across the Information Processing Stream

    R 1

  2. Computational-mechanisms-underlying-partisan-information-processing Computational-mechanisms-underlying-partisan-information-processing Public

    De-identified raw data and code for manuscript entitled computational mechanisms underlying partisan information processing biases and associations with depth of cognitive reasoning

    Jupyter Notebook

  3. JS-Prediction-Task JS-Prediction-Task Public

    Back end JS code for interactive prediction task

    JavaScript

  4. stereotypes_disrupt_learning stereotypes_disrupt_learning Public

    Analyses and code

    JavaScript