Michael Y. Yu

I am a 3rd-year undergraduate student at the McGill University’s Computer Science with a minor in Geographical Information Science. Currently, I am 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”); 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); Profand Prof. Jacqueline Lane’s Group at Harvard Business School (developing advanced GenAI frameworks and analytical tools to optimize venture capital decisions and enhance circular economy enterprises).

I am passionate about leveraging GenAI applications and computational techniques to solve pressing issues in various topics. If you are interested in these areas or would like to chat in general, feel free to reach out to me.