Ruixuan Sun

Hi! This is Ruixuan(Sophia). I’m a Machine Learning Engineer at Google working on personalized AI Safety and Security. I obtained my PhD in Computer Science from University of Minnesota in 2026 and my Bachelor’s in CS from Georgia Tech in 2019.

My research interests include: Human-centered AI, Social Computing, Recommender Systems, and Applied Machine Learning. In particular, I’m passionate about user interest modeling, behavior understanding, beyond-accuracy evaluation and optimization. I have expertise in mixed-method study design and extensive experience in running large-scale online field experiments powered by A/B tests. In general, I love training models and conducting user evaluation to understand how we can better serve human beings with AI-powered technology!

Please see my CV for more detailed experience (last updated July 2026).

news

Jun 10, 2026	Excited to present our paper “Productively Wrong: How Auditing Open Profiles Enhances Interest Awareness and Reflection in Movie Recommenders” at UMAP 2026 in Gothenburg, Sweden!
Apr 8, 2026	Our work “Beyond Exposure Diversity: Debiasing News Consumption With Topic-Locality Calibration and Personalized Preview Nudges” has been accepted to SIGIR 2026! Minzhu will present it in person at Melbourne, Australia in July 2026!
Feb 1, 2026	Excited to serve as RecSys 26’ Demos and Research & Practice Notes chair. Please consider submitting your work this summer and looking forward to meeting with everyone in Minneapolis this September!
Apr 28, 2025	Excited to present our paper “Multi-Prompting Scenario-based Movie Recommendation with Large Language Models: Real User Case Study” at CHI 2025!
Mar 24, 2025	Excited to present our long paper “Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders” at CHIIR 2025!