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. |
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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 |
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! |