Ruixuan Sun

Computer Science Ph.D. student @ University of Minnesota

GroupLens Lab

Dept of Computer Science

5-244 Keller Hall

200 Union Street SE

Minneapolis, MN 55455

Hi! This is Ruixuan(Sophia), a 4th-year Computer Science Ph.D. student working with Dr. Joseph Konstan at University of Minnesota. I earned my Bachalor’s Degree of Computer Science from Georgia Institute of Technology in 2019. After graduation, I’ve worked as a Software Engineer at Yelp for two years before starting my Ph.D. journey at UMN.

My research interests include: Human-centered AI, Social Computing, Recommender Systems, and Machine Learning. 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!

I’m actively looking for 2025 summer internship as Research Scientist, Machine Learning Engineer, Data Scientist, and/or UX Researcher.

Please see my CV for more detailed experience.

news

Oct 14, 2024 Happy to attend my third RecSys in Bari, Italy! I will present our work AI-based Human-Centered Recommender Systems: Empirical Experiments and Research Infrastructure at Doctoral Symposium; Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment at Women In RecSys session; and What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders at the IntRS workshop.
Jun 20, 2024 Our paper, Investigating Social Interaction Factors for Newcomer Retention in Wikipedia Teahouse is presented on Wiki Workshop 2024!
Jun 16, 2024 I’m going to attend the HCIC 2024 annual meeting from June 16h-20th in Delavan, WI as a student participant from UMN HCI group! Excited to meet everyone by the lake :smile:
Jan 18, 2024 Excited to be the course instructor of CSCI 5115: UI Design, Implementation, and Evaluation course at UMN in Spring 2024!
Oct 1, 2023 Our paper, Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment is published on International Journal of Human–Computer Interaction!