Third-year CS & Math Student at University of Toronto
I am a third-year undergraduate student at University of Toronto studying Computer Science and Mathematics (GPA: 4.00/4.00).
I am very fortunate to start doing research at Vector Institute under the supervision of Prof. Rahul G. Krishnan.
Previously, I did an internship at Royal Bank Canada (RBC) as a full-stack software developer.
My research interest lies in the intersection of machine learning, natural language processing and causal inference. I hope to use my research to make machine learning interpretable and trustworthy.
I am currently working on understanding the mechanism of how Large Language Models (LLMs) answer causal questions and how to improve the performance of LLMs in causal inference tasks.
Code | Name | Grade |
---|---|---|
APM462 | Non-linear (Convex) Optimization | A+ |
CSC263 | Data Structures & Analysis | A+ |
CSC311 | Machine Learning | A+ |
CSC343 | Relational Database | A+ |
CSC401 | Natural Language Computing | A+ |
MAT237 | Advanced Calculus | A+ |
MAT223 | Linear Algebra I | A+ |
MAT224 | Linear Algebra II | A+ |
STA257 | Probability & Statistics I | A |
STA261 | Probability & Statistics II | A+ |
I am fortunate to have photos together with several AI pioneers.
Professor Geoffrey Hinton, who inspires my passion for studying computer science at University of Toronto.