Michael Y. Yu
McGill University. Undergraduate Research Assistant | AI FOR SOCIAL GOOD
I am a 4th-year undergraduate student at the McGill University’s Computer Science with a minor in Geographical Information Science. Currently, I am fortunate to be supervised by Prof. Renee Sieber, under Data Rescue: Archives & Weather (affiliations: NLP, RAG, Prompt Chaining, LLM Training, I/O Issues), working on identifying “Weather Vulnerabilities to Past and Present Disruptive Weather” - The Continuing Challenge of Using Newspapers as Digital Data.
I also have collaborations with Prof. Nikki G. Lobczowski’s CREATE Lab (engaing in a project “QG-math problem posing through Generative AI”); and Prof. Luke McCaffery ‘s Lab at the Rosalind & Morris Goodman Cancer Institute (engaging in computational modeling and simulation to investigate cellular dynamics and mechanisms in cancer research).
I am passionate about leveraging GenAI applications and computational techniques to solve pressing issues in various topics. Specifically, my research interests focus on information retrieval and natural language processing, especially, retrieval-augmented generation (RAG), multi-agent, reasoning, etc. :)

Timeline
May 2025 | 🧻 Our paper WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models got accepted into the Findings of the Association for Computational Linguistics: ACL 2025, Vienna! |
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Apr 2025 | 💸 Achieved Friends of the Libraries Student Library Awards ($1000) |
Apr 2025 | 💸 Achieved BMO Junior Responsible AI Scholars Awards($8,700) |
Mar 2025 | 🧻 Our paper From Recall to Reasoning: Automated Question Generation for Deeper Math Learning through Large Language Models got accepted into the 26th International Conference on Artificial Intelligence in Education, 2025! |
Aug 2024 | 💸 Achieved OpenAI Researcher Access Program - Research Grants ($5000) |
Jan 2024 | 🎉 Won first place at AI EarthHack - Best Pitch & Demo Award ($2000) |
May 2023 | 🏆 Achieved CIHR - Canadian Inst of Health Research Award ($6000) |