Hi, I’m Michael Ryan and I’m a Master’s student studying Artificial Intelligence at Stanford. This Fall I’m a Course Assistant for CS221: Artificial Intelligence Principles and Techniques.
My research interests include multilingual NLP and fairness in large language models. I am also excited about retrieval augmentation for more trustworthy text generation. My most recent work is on multilingual text simplification and multilingual readability as well as multicultural fairness. Previously I was an undergraduate researcher in Dr. Wei Xu’s NLP X Lab at Georgia Tech.
Have a quick look at my resume!
MS in Computer Science, 2025
BSc in Computer Science (Intelligence & Systems/Architecture), 2023
Georgia Institute of Technology
We release the MultiSim benchmark, a collection of 27 resources in 12 distinct languages containing over 1.7 million complex-simple sentence pairs. This benchmark will encourage research in developing more effective multilingual text simplification models and evaluation metrics. Our experiments using MultiSim with pre-trained multilingual language models reveal exciting performance improvements from multilingual training in non-English settings.
As Head TA for CS3600 I was responsible for organizing the grading and office hours of 26 TAs to make sure that the class ran smoothly for 1,633 students (across 4 semesters). I had the opportunity to teach about search, reinforcement learning, bayesian inference, and machine learning.