Michael Y. Yu

Hi! I’m a 4th-year undergraduate student at the McGill University’s Computer Science with a minor in Geographical Information Science. I am fortunate to be advised by Prof. Renee Sieber and Prof. Nikki G. Lobczowski at McGill University. I also have collabrated with PhD Jingwei Ni and Prof. Markus Leippold at ETH Zurich.

My research primarily sits at the intersection of natural language processing and AI for Social Good. I currently work on how LLMs can reason, retrieve, and adapt to real-world domains, with a focus on Human–AI interaction and responsible tools for social domains (e.g., climate resilience, education, news, etc.). Specifically, my research direction lies on designing new benchmarks and evaluation pipelines, and building robust data-collection and annotation systems to better train and measure LLM performance.